VOTING POWER100.00%
DOWNVOTE POWER100.00%
RESOURCE CREDITS100.00%
REPUTATION PROGRESS69.14%
Net Worth
0.783USD
STEEM
0.000STEEM
SBD
0.217SBD
Own SP
11.704SP
Detailed Balance
| STEEM | ||
| balance | 0.000STEEM | STEEM |
| market_balance | 0.000STEEM | STEEM |
| savings_balance | 0.000STEEM | STEEM |
| reward_steem_balance | 0.000STEEM | STEEM |
| STEEM POWER | ||
| Own SP | 11.704SP | SP |
| Delegated Out | 0.000SP | SP |
| Delegation In | 0.000SP | SP |
| Effective Power | 11.704SP | SP |
| Reward SP (pending) | 0.000SP | SP |
| SBD | ||
| sbd_balance | 0.217SBD | SBD |
| sbd_conversions | 0.000SBD | SBD |
| sbd_market_balance | 0.000SBD | SBD |
| savings_sbd_balance | 0.000SBD | SBD |
| reward_sbd_balance | 0.000SBD | SBD |
{
"balance": "0.000 STEEM",
"savings_balance": "0.000 STEEM",
"reward_steem_balance": "0.000 STEEM",
"vesting_shares": "19037.130578 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
"received_vesting_shares": "0.000000 VESTS",
"sbd_balance": "0.217 SBD",
"savings_sbd_balance": "0.000 SBD",
"reward_sbd_balance": "0.000 SBD",
"conversions": []
}Account Info
| name | ferumflex |
| id | 158734 |
| rank | 112,816 |
| reputation | 1990887483 |
| created | 2017-05-14T04:15:27 |
| recovery_account | steem |
| proxy | None |
| post_count | 8 |
| comment_count | 0 |
| lifetime_vote_count | 0 |
| witnesses_voted_for | 0 |
| last_post | 2018-11-07T12:02:51 |
| last_root_post | 2018-11-07T12:02:51 |
| last_vote_time | 2022-07-01T14:33:51 |
| proxied_vsf_votes | 0, 0, 0, 0 |
| can_vote | 1 |
| voting_power | 9,414 |
| delayed_votes | 0 |
| balance | 0.000 STEEM |
| savings_balance | 0.000 STEEM |
| sbd_balance | 0.217 SBD |
| savings_sbd_balance | 0.000 SBD |
| vesting_shares | 19037.130578 VESTS |
| delegated_vesting_shares | 0.000000 VESTS |
| received_vesting_shares | 0.000000 VESTS |
| reward_vesting_balance | 0.000000 VESTS |
| vesting_balance | 0.000 STEEM |
| vesting_withdraw_rate | 0.000000 VESTS |
| next_vesting_withdrawal | 1969-12-31T23:59:59 |
| withdrawn | 0 |
| to_withdraw | 0 |
| withdraw_routes | 0 |
| savings_withdraw_requests | 0 |
| last_account_recovery | 1970-01-01T00:00:00 |
| reset_account | null |
| last_owner_update | 1970-01-01T00:00:00 |
| last_account_update | 1970-01-01T00:00:00 |
| mined | No |
| sbd_seconds | 2,147,958 |
| sbd_last_interest_payment | 2017-07-13T21:42:36 |
| savings_sbd_last_interest_payment | 1970-01-01T00:00:00 |
{
"id": 158734,
"name": "ferumflex",
"owner": {
"weight_threshold": 1,
"account_auths": [],
"key_auths": [
[
"STM7Cek1ERLiixy3ACsqS4tR26pDtTtQD4HJytfiTMce17wawtAry",
1
]
]
},
"active": {
"weight_threshold": 1,
"account_auths": [],
"key_auths": [
[
"STM5WCC4we349fvBN9JJdTxoeDWEE3qKWcjZvuB9b1PTqgbb3ZWSm",
1
]
]
},
"posting": {
"weight_threshold": 1,
"account_auths": [],
"key_auths": [
[
"STM6VW5oTvqjTkcmvuWdunpfcmFdXQNrXiwh8YErDY8jLM4BJzYHF",
1
]
]
},
"memo_key": "STM8gNbzBC7xxKKNUnFnBxEwT57v72R1bt4iGtsnwR5UwySgaatjg",
"json_metadata": "",
"posting_json_metadata": "",
"proxy": "",
"last_owner_update": "1970-01-01T00:00:00",
"last_account_update": "1970-01-01T00:00:00",
"created": "2017-05-14T04:15:27",
"mined": false,
"recovery_account": "steem",
"last_account_recovery": "1970-01-01T00:00:00",
"reset_account": "null",
"comment_count": 0,
"lifetime_vote_count": 0,
"post_count": 8,
"can_vote": true,
"voting_manabar": {
"current_mana": "17921704589",
"last_update_time": 1656686031
},
"downvote_manabar": {
"current_mana": "4759282644",
"last_update_time": 1656686031
},
"voting_power": 9414,
"balance": "0.000 STEEM",
"savings_balance": "0.000 STEEM",
"sbd_balance": "0.217 SBD",
"sbd_seconds": "2147958",
"sbd_seconds_last_update": "2017-07-26T08:02:15",
"sbd_last_interest_payment": "2017-07-13T21:42:36",
"savings_sbd_balance": "0.000 SBD",
"savings_sbd_seconds": "0",
"savings_sbd_seconds_last_update": "1970-01-01T00:00:00",
"savings_sbd_last_interest_payment": "1970-01-01T00:00:00",
"savings_withdraw_requests": 0,
"reward_sbd_balance": "0.000 SBD",
"reward_steem_balance": "0.000 STEEM",
"reward_vesting_balance": "0.000000 VESTS",
"reward_vesting_steem": "0.000 STEEM",
"vesting_shares": "19037.130578 VESTS",
"delegated_vesting_shares": "0.000000 VESTS",
"received_vesting_shares": "0.000000 VESTS",
"vesting_withdraw_rate": "0.000000 VESTS",
"next_vesting_withdrawal": "1969-12-31T23:59:59",
"withdrawn": 0,
"to_withdraw": 0,
"withdraw_routes": 0,
"curation_rewards": 2,
"posting_rewards": 354,
"proxied_vsf_votes": [
0,
0,
0,
0
],
"witnesses_voted_for": 0,
"last_post": "2018-11-07T12:02:51",
"last_root_post": "2018-11-07T12:02:51",
"last_vote_time": "2022-07-01T14:33:51",
"post_bandwidth": 0,
"pending_claimed_accounts": 0,
"vesting_balance": "0.000 STEEM",
"reputation": 1990887483,
"transfer_history": [],
"market_history": [],
"post_history": [],
"vote_history": [],
"other_history": [],
"witness_votes": [],
"tags_usage": [],
"guest_bloggers": [],
"rank": 112816
}Withdraw Routes
| Incoming | Outgoing |
|---|---|
Empty | Empty |
{
"incoming": [],
"outgoing": []
}From Date
To Date
strecozareplied to @ferumflex / redom92022/07/02 05:30:09
strecozareplied to @ferumflex / redom9
2022/07/02 05:30:09
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | strecoza |
| permlink | redom9 |
| title | |
| body | Привіт Антон. Раді тебе бачити. Приєднуйся до нас. Разом ми сила! |
| json metadata | {"app":"steemit/0.2"} |
| Transaction Info | Block #65557478/Trx 24abe9574cee6391b1c64a61b3adb1be5fcd6535 |
View Raw JSON Data
{
"trx_id": "24abe9574cee6391b1c64a61b3adb1be5fcd6535",
"block": 65557478,
"trx_in_block": 3,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2022-07-02T05:30:09",
"op": [
"comment",
{
"parent_author": "ferumflex",
"parent_permlink": "hi-steemers",
"author": "strecoza",
"permlink": "redom9",
"title": "",
"body": "Привіт Антон. Раді тебе бачити. Приєднуйся до нас. Разом ми сила!",
"json_metadata": "{\"app\":\"steemit/0.2\"}"
}
]
}ferumflexupvoted (100.00%) @zaria56 / my-town-in-10-pictures-the-way-home-misto-yakogo-nemaye-null-or-252022/07/01 14:33:51
ferumflexupvoted (100.00%) @zaria56 / my-town-in-10-pictures-the-way-home-misto-yakogo-nemaye-null-or-25
2022/07/01 14:33:51
| voter | ferumflex |
| author | zaria56 |
| permlink | my-town-in-10-pictures-the-way-home-misto-yakogo-nemaye-null-or-25 |
| weight | 10000 (100.00%) |
| Transaction Info | Block #65539647/Trx e9abed4956a7ed27a59c4aa9d3206db98bec0580 |
View Raw JSON Data
{
"trx_id": "e9abed4956a7ed27a59c4aa9d3206db98bec0580",
"block": 65539647,
"trx_in_block": 15,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2022-07-01T14:33:51",
"op": [
"vote",
{
"voter": "ferumflex",
"author": "zaria56",
"permlink": "my-town-in-10-pictures-the-way-home-misto-yakogo-nemaye-null-or-25",
"weight": 10000
}
]
}ferumflexupvoted (100.00%) @lhorgic / crypto-terminology-or-or-10-payout-to-tron-fan-club2022/07/01 14:32:57
ferumflexupvoted (100.00%) @lhorgic / crypto-terminology-or-or-10-payout-to-tron-fan-club
2022/07/01 14:32:57
| voter | ferumflex |
| author | lhorgic |
| permlink | crypto-terminology-or-or-10-payout-to-tron-fan-club |
| weight | 10000 (100.00%) |
| Transaction Info | Block #65539629/Trx e465cd11c6f5441d4e37d5925af79ad57e5af74a |
View Raw JSON Data
{
"trx_id": "e465cd11c6f5441d4e37d5925af79ad57e5af74a",
"block": 65539629,
"trx_in_block": 0,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2022-07-01T14:32:57",
"op": [
"vote",
{
"voter": "ferumflex",
"author": "lhorgic",
"permlink": "crypto-terminology-or-or-10-payout-to-tron-fan-club",
"weight": 10000
}
]
}2022/07/01 14:32:15
2022/07/01 14:32:15
| voter | ferumflex |
| author | olesia |
| permlink | club100-the-diary-game-3-date-30-6-2022-or-ostannii-den-chervnya-tomu-sho-tomu |
| weight | 10000 (100.00%) |
| Transaction Info | Block #65539615/Trx beb6959737fe9f267bce6d41c7d9fd3779d0da26 |
View Raw JSON Data
{
"trx_id": "beb6959737fe9f267bce6d41c7d9fd3779d0da26",
"block": 65539615,
"trx_in_block": 4,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2022-07-01T14:32:15",
"op": [
"vote",
{
"voter": "ferumflex",
"author": "olesia",
"permlink": "club100-the-diary-game-3-date-30-6-2022-or-ostannii-den-chervnya-tomu-sho-tomu",
"weight": 10000
}
]
}ferumflexcustom json: community2022/07/01 14:31:12
ferumflexcustom json: community
2022/07/01 14:31:12
| required auths | [] |
| required posting auths | ["ferumflex"] |
| id | community |
| json | ["subscribe",{"community":"hive-108451"}] |
| Transaction Info | Block #65539594/Trx 129e572d2ea7659488d43d5978d09c4a4b7a8966 |
View Raw JSON Data
{
"trx_id": "129e572d2ea7659488d43d5978d09c4a4b7a8966",
"block": 65539594,
"trx_in_block": 3,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2022-07-01T14:31:12",
"op": [
"custom_json",
{
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"required_posting_auths": [
"ferumflex"
],
"id": "community",
"json": "[\"subscribe\",{\"community\":\"hive-108451\"}]"
}
]
}ferumflexcustom json: community2022/07/01 14:30:15
ferumflexcustom json: community
2022/07/01 14:30:15
| required auths | [] |
| required posting auths | ["ferumflex"] |
| id | community |
| json | ["subscribe",{"community":"hive-185538"}] |
| Transaction Info | Block #65539575/Trx 424e287edbcee1bdf02fa1156a5f214cbb6a8762 |
View Raw JSON Data
{
"trx_id": "424e287edbcee1bdf02fa1156a5f214cbb6a8762",
"block": 65539575,
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"timestamp": "2022-07-01T14:30:15",
"op": [
"custom_json",
{
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"required_posting_auths": [
"ferumflex"
],
"id": "community",
"json": "[\"subscribe\",{\"community\":\"hive-185538\"}]"
}
]
}ferumflexcustom json: community2022/07/01 14:29:21
ferumflexcustom json: community
2022/07/01 14:29:21
| required auths | [] |
| required posting auths | ["ferumflex"] |
| id | community |
| json | ["subscribe",{"community":"hive-137760"}] |
| Transaction Info | Block #65539557/Trx 697b4dd5e0657dec6df5d68ea15c1fbc836f126a |
View Raw JSON Data
{
"trx_id": "697b4dd5e0657dec6df5d68ea15c1fbc836f126a",
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"timestamp": "2022-07-01T14:29:21",
"op": [
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{
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"required_posting_auths": [
"ferumflex"
],
"id": "community",
"json": "[\"subscribe\",{\"community\":\"hive-137760\"}]"
}
]
}ferumflexcustom json: community2022/07/01 14:29:12
ferumflexcustom json: community
2022/07/01 14:29:12
| required auths | [] |
| required posting auths | ["ferumflex"] |
| id | community |
| json | ["subscribe",{"community":"hive-183397"}] |
| Transaction Info | Block #65539554/Trx 3e702b7648e809b0426ad2e26f85c5d00e68f293 |
View Raw JSON Data
{
"trx_id": "3e702b7648e809b0426ad2e26f85c5d00e68f293",
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"timestamp": "2022-07-01T14:29:12",
"op": [
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{
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"required_posting_auths": [
"ferumflex"
],
"id": "community",
"json": "[\"subscribe\",{\"community\":\"hive-183397\"}]"
}
]
}ferumflexcustom json: notify2022/07/01 12:54:45
ferumflexcustom json: notify
2022/07/01 12:54:45
| required auths | [] |
| required posting auths | ["ferumflex"] |
| id | notify |
| json | ["setLastRead",{"date":"2022-07-01T12:54:44"}] |
| Transaction Info | Block #65537677/Trx ea3e83d155097c5ad6db1c7947138e524d2a14b9 |
View Raw JSON Data
{
"trx_id": "ea3e83d155097c5ad6db1c7947138e524d2a14b9",
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"virtual_op": 0,
"timestamp": "2022-07-01T12:54:45",
"op": [
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{
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],
"id": "notify",
"json": "[\"setLastRead\",{\"date\":\"2022-07-01T12:54:44\"}]"
}
]
}steemdelegated 0.000 SP to @ferumflex2020/05/08 09:20:42
steemdelegated 0.000 SP to @ferumflex
2020/05/08 09:20:42
| delegator | steem |
| delegatee | ferumflex |
| vesting shares | 0.000000 VESTS |
| Transaction Info | Block #43193137/Trx 544464c24bb95419dbd29670b85cc0289900310c |
View Raw JSON Data
{
"trx_id": "544464c24bb95419dbd29670b85cc0289900310c",
"block": 43193137,
"trx_in_block": 14,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2020-05-08T09:20:42",
"op": [
"delegate_vesting_shares",
{
"delegator": "steem",
"delegatee": "ferumflex",
"vesting_shares": "0.000000 VESTS"
}
]
}2019/05/14 06:09:48
2019/05/14 06:09:48
| parent author | ferumflex |
| parent permlink | how-to-write-your-own-recognition-system-using-python-and-facenet |
| author | steemitboard |
| permlink | steemitboard-notify-ferumflex-20190514t060947000z |
| title | |
| body | Congratulations @ferumflex! You received a personal award! <table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@ferumflex/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table> <sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@ferumflex) and compare to others on the [Steem Ranking](http://steemitboard.com/ranking/index.php?name=ferumflex)_</sub> **Do not miss the last post from @steemitboard:** <table><tr><td><a href="https://steemit.com/japanese/@steemitboard/new-japanese-speaking-community-steem-meetup-badge"><img src="https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmRWbAjbeETEaqSPLcpwYX1JN5pZhdPffv4q6DaBs6xvZm/image.png"></a></td><td><a href="https://steemit.com/japanese/@steemitboard/new-japanese-speaking-community-steem-meetup-badge">New japanese speaking community Steem Meetup badge</a></td></tr></table> ###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes! |
| json metadata | {"image":["https://steemitboard.com/img/notify.png"]} |
| Transaction Info | Block #32892574/Trx 47aae0109dda9e2724efa80cf66f31ac7181022f |
View Raw JSON Data
{
"trx_id": "47aae0109dda9e2724efa80cf66f31ac7181022f",
"block": 32892574,
"trx_in_block": 7,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2019-05-14T06:09:48",
"op": [
"comment",
{
"parent_author": "ferumflex",
"parent_permlink": "how-to-write-your-own-recognition-system-using-python-and-facenet",
"author": "steemitboard",
"permlink": "steemitboard-notify-ferumflex-20190514t060947000z",
"title": "",
"body": "Congratulations @ferumflex! You received a personal award!\n\n<table><tr><td>https://steemitimages.com/70x70/http://steemitboard.com/@ferumflex/birthday2.png</td><td>Happy Birthday! - You are on the Steem blockchain for 2 years!</td></tr></table>\n\n<sub>_You can view [your badges on your Steem Board](https://steemitboard.com/@ferumflex) and compare to others on the [Steem Ranking](http://steemitboard.com/ranking/index.php?name=ferumflex)_</sub>\n\n\n**Do not miss the last post from @steemitboard:**\n<table><tr><td><a href=\"https://steemit.com/japanese/@steemitboard/new-japanese-speaking-community-steem-meetup-badge\"><img src=\"https://steemitimages.com/64x128/https://cdn.steemitimages.com/DQmRWbAjbeETEaqSPLcpwYX1JN5pZhdPffv4q6DaBs6xvZm/image.png\"></a></td><td><a href=\"https://steemit.com/japanese/@steemitboard/new-japanese-speaking-community-steem-meetup-badge\">New japanese speaking community Steem Meetup badge</a></td></tr></table>\n\n###### [Vote for @Steemitboard as a witness](https://v2.steemconnect.com/sign/account-witness-vote?witness=steemitboard&approve=1) to get one more award and increased upvotes!",
"json_metadata": "{\"image\":[\"https://steemitboard.com/img/notify.png\"]}"
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]
}steemdelegated 1.233 SP to @ferumflex2019/02/06 13:54:12
steemdelegated 1.233 SP to @ferumflex
2019/02/06 13:54:12
| delegator | steem |
| delegatee | ferumflex |
| vesting shares | 2005.898093 VESTS |
| Transaction Info | Block #30111623/Trx a982f1f450df8bbe55d2a216e440a2307034916d |
View Raw JSON Data
{
"trx_id": "a982f1f450df8bbe55d2a216e440a2307034916d",
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"trx_in_block": 14,
"op_in_trx": 0,
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"timestamp": "2019-02-06T13:54:12",
"op": [
"delegate_vesting_shares",
{
"delegator": "steem",
"delegatee": "ferumflex",
"vesting_shares": "2005.898093 VESTS"
}
]
}steemdelegated 6.869 SP to @ferumflex2018/11/26 17:30:18
steemdelegated 6.869 SP to @ferumflex
2018/11/26 17:30:18
| delegator | steem |
| delegatee | ferumflex |
| vesting shares | 11172.631550 VESTS |
| Transaction Info | Block #28043947/Trx 17fdce491287d10039e47eb4af8bdb670203bf3a |
View Raw JSON Data
{
"trx_id": "17fdce491287d10039e47eb4af8bdb670203bf3a",
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"timestamp": "2018-11-26T17:30:18",
"op": [
"delegate_vesting_shares",
{
"delegator": "steem",
"delegatee": "ferumflex",
"vesting_shares": "11172.631550 VESTS"
}
]
}ferumflexupvoted (100.00%) @ferumflex / how-to-write-your-own-recognition-system-using-python-and-facenet2018/11/07 12:45:06
ferumflexupvoted (100.00%) @ferumflex / how-to-write-your-own-recognition-system-using-python-and-facenet
2018/11/07 12:45:06
| voter | ferumflex |
| author | ferumflex |
| permlink | how-to-write-your-own-recognition-system-using-python-and-facenet |
| weight | 10000 (100.00%) |
| Transaction Info | Block #27491369/Trx f3227a6649ac22f7bee57a9e99d237c5cb6c2bd8 |
View Raw JSON Data
{
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"timestamp": "2018-11-07T12:45:06",
"op": [
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}ferumflexpublished a new post: how-to-write-your-own-recognition-system-using-python-and-facenet2018/11/07 12:16:48
ferumflexpublished a new post: how-to-write-your-own-recognition-system-using-python-and-facenet
2018/11/07 12:16:48
| parent author | |
| parent permlink | technology |
| author | ferumflex |
| permlink | how-to-write-your-own-recognition-system-using-python-and-facenet |
| title | How to write your own recognition system using python and facenet |
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}ferumflexpublished a new post: how-to-write-your-own-recognition-system-using-python-and-facenet2018/11/07 12:13:06
ferumflexpublished a new post: how-to-write-your-own-recognition-system-using-python-and-facenet
2018/11/07 12:13:06
| parent author | |
| parent permlink | technology |
| author | ferumflex |
| permlink | how-to-write-your-own-recognition-system-using-python-and-facenet |
| title | How to write your own recognition system using python and facenet |
| body | @@ -56,13 +56,25 @@ th=%22 +3 2 -8 0%22 +height=%22180%22 /%3E%3C/ @@ -1266,31 +1266,16 @@ env%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A source e @@ -2300,39 +2300,24 @@ port os%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A import fnmat @@ -2319,39 +2319,24 @@ fnmatch%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A import re%3Cbr @@ -2346,101 +2346,41 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Aimport numpy as np%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Aimport cv2%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A +import numpy as np%3Cbr%3E%0Aimport cv2 %3Cbr%3E @@ -2426,31 +2426,16 @@ ace%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A from fac @@ -2462,31 +2462,16 @@ net%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A import t @@ -2499,38 +2499,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A MINS @@ -2512,31 +2512,16 @@ 20%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A THRESHOL @@ -2544,31 +2544,16 @@ .7%5D%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A FACTOR = @@ -2563,31 +2563,16 @@ 709%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A MARGIN = @@ -2579,31 +2579,16 @@ 44%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A SCALE = @@ -2660,31 +2660,16 @@ del%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A sess = t @@ -2684,31 +2684,16 @@ n()%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A with ses @@ -2708,39 +2708,24 @@ ault():%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -2782,38 +2782,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -2871,39 +2871,24 @@ put:0%22)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -2965,39 +2965,24 @@ ngs:0%22)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3073,39 +3073,24 @@ ain:0%22)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3136,39 +3136,24 @@ shape()%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3216,31 +3216,16 @@ %5B1%5D%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A pnet, rn @@ -3285,38 +3285,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A def @@ -3309,39 +3309,24 @@ sized):%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3402,39 +3402,24 @@ ize, 3)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3439,39 +3439,24 @@ ict = %7B%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3517,39 +3517,24 @@ haped, %3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3596,39 +3596,24 @@ False,%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3621,39 +3621,24 @@ %7D%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3706,88 +3706,25 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A return embedding%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A + return embedding %3Cbr%3E @@ -3747,39 +3747,24 @@ ten(x):%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3788,39 +3788,24 @@ mean(x)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3827,39 +3827,24 @@ .std(x)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3897,39 +3897,24 @@ .size))%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3977,42 +3977,9 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A + retu @@ -4246,39 +4246,24 @@ e='.'):%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4336,42 +4336,9 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A + retu @@ -4431,38 +4431,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # lo @@ -4445,31 +4445,16 @@ ges%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A EMBEDDIN @@ -4465,31 +4465,16 @@ %7B%7D%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A for file @@ -4511,39 +4511,24 @@ ages'):%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4561,39 +4561,24 @@ lename)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4679,39 +4679,24 @@ FACTOR)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if bounding @@ -4713,31 +4713,16 @@ ():%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A assert @@ -4786,39 +4786,24 @@ image'%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4857,39 +4857,24 @@ oxes%5B0%5D%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4933,39 +4933,24 @@ y = box%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if accuracy @@ -4960,39 +4960,24 @@ t; 0.7:%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5080,39 +5080,24 @@ x2), :%5D%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5250,39 +5250,24 @@ _CUBIC)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5354,39 +5354,24 @@ esized)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5480,39 +5480,24 @@ ename))%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5605,44 +5605,14 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A else:%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A + else: %3Cbr%3E @@ -5779,31 +5779,16 @@ deo%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A cap = cv @@ -5809,31 +5809,16 @@ (0)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A while Tr @@ -5821,39 +5821,24 @@ e True:%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # Capture f @@ -5851,39 +5851,24 @@ y-frame%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5902,31 +5902,16 @@ d()%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # Resiz @@ -5978,39 +5978,24 @@ cessing%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -6057,31 +6057,16 @@ LE)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # Conve @@ -6156,39 +6156,24 @@ n uses)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -6214,38 +6214,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # d @@ -6235,39 +6235,24 @@ g boxes%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -6363,39 +6363,24 @@ FACTOR)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if bounding @@ -6393,39 +6393,24 @@ .any():%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A for index, @@ -6444,39 +6444,24 @@ boxes):%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -6545,39 +6545,24 @@ = face%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if accuracy @@ -6572,39 +6572,24 @@ t; 0.5:%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -6716,39 +6716,24 @@ x2), :%5D%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -6918,39 +6918,9 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A %3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A + %3Cbr%3E @@ -7044,39 +7044,24 @@ esized)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7197,38 +7197,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # t @@ -7235,39 +7235,24 @@ atabase%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7350,39 +7350,24 @@ = None%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7465,31 +7465,16 @@ one%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A for nam @@ -7509,39 +7509,24 @@ tems():%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7687,39 +7687,24 @@ ing, 0)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if min_dist @@ -7747,39 +7747,24 @@ stance:%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7906,39 +7906,24 @@ = name%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8086,38 +8086,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # i @@ -8142,39 +8142,24 @@ too big%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if min_dist @@ -8190,39 +8190,24 @@ t; 1.1:%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8341,39 +8341,24 @@ SIMPLEX%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8479,39 +8479,24 @@ / SCALE%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8622,39 +8622,24 @@ LE - 10%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8776,39 +8776,24 @@ _text))%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8986,38 +8986,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # s @@ -9018,39 +9018,24 @@ t image%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -9150,39 +9150,24 @@ SCALE))%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -9285,39 +9285,24 @@ SCALE))%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -9445,38 +9445,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # D @@ -9476,31 +9476,16 @@ ame%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A & @@ -9526,31 +9526,16 @@ me)%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if cv2. @@ -9573,31 +9573,16 @@ '):%3Cbr%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A break%3Cb @@ -9593,38 +9593,8 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # Wh @@ -9641,51 +9641,21 @@ br%3E%0A -%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Acap.release()%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A +cap.release() %3Cbr%3E |
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"permlink": "how-to-write-your-own-recognition-system-using-python-and-facenet",
"title": "How to write your own recognition system using python and facenet",
"body": "@@ -56,13 +56,25 @@\n th=%22\n+3\n 2\n-8\n 0%22 \n+height=%22180%22\n /%3E%3C/\n@@ -1266,31 +1266,16 @@\n env%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n source e\n@@ -2300,39 +2300,24 @@\n port os%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n import fnmat\n@@ -2319,39 +2319,24 @@\n fnmatch%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n import re%3Cbr\n@@ -2346,101 +2346,41 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Aimport numpy as np%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Aimport cv2%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n+import numpy as np%3Cbr%3E%0Aimport cv2\n %3Cbr%3E\n@@ -2426,31 +2426,16 @@\n ace%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n from fac\n@@ -2462,31 +2462,16 @@\n net%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n import t\n@@ -2499,38 +2499,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n MINS\n@@ -2512,31 +2512,16 @@\n 20%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n THRESHOL\n@@ -2544,31 +2544,16 @@\n .7%5D%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n FACTOR =\n@@ -2563,31 +2563,16 @@\n 709%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n MARGIN =\n@@ -2579,31 +2579,16 @@\n 44%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n SCALE = \n@@ -2660,31 +2660,16 @@\n del%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n sess = t\n@@ -2684,31 +2684,16 @@\n n()%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n with ses\n@@ -2708,39 +2708,24 @@\n ault():%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -2782,38 +2782,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -2871,39 +2871,24 @@\n put:0%22)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -2965,39 +2965,24 @@\n ngs:0%22)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3073,39 +3073,24 @@\n ain:0%22)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3136,39 +3136,24 @@\n shape()%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3216,31 +3216,16 @@\n %5B1%5D%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n pnet, rn\n@@ -3285,38 +3285,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n def \n@@ -3309,39 +3309,24 @@\n sized):%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3402,39 +3402,24 @@\n ize, 3)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3439,39 +3439,24 @@\n ict = %7B%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3517,39 +3517,24 @@\n haped, %3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3596,39 +3596,24 @@\n False,%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3621,39 +3621,24 @@\n %7D%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3706,88 +3706,25 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A return embedding%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n+ return embedding\n %3Cbr%3E\n@@ -3747,39 +3747,24 @@\n ten(x):%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3788,39 +3788,24 @@\n mean(x)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3827,39 +3827,24 @@\n .std(x)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3897,39 +3897,24 @@\n .size))%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3977,42 +3977,9 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A \n+ \n retu\n@@ -4246,39 +4246,24 @@\n e='.'):%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4336,42 +4336,9 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A \n+ \n retu\n@@ -4431,38 +4431,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # lo\n@@ -4445,31 +4445,16 @@\n ges%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n EMBEDDIN\n@@ -4465,31 +4465,16 @@\n %7B%7D%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n for file\n@@ -4511,39 +4511,24 @@\n ages'):%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4561,39 +4561,24 @@\n lename)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4679,39 +4679,24 @@\n FACTOR)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if bounding\n@@ -4713,31 +4713,16 @@\n ():%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n assert \n@@ -4786,39 +4786,24 @@\n image'%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4857,39 +4857,24 @@\n oxes%5B0%5D%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4933,39 +4933,24 @@\n y = box%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if accuracy\n@@ -4960,39 +4960,24 @@\n t; 0.7:%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5080,39 +5080,24 @@\n x2), :%5D%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5250,39 +5250,24 @@\n _CUBIC)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5354,39 +5354,24 @@\n esized)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5480,39 +5480,24 @@\n ename))%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5605,44 +5605,14 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A else:%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n+ else:\n %3Cbr%3E\n@@ -5779,31 +5779,16 @@\n deo%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n cap = cv\n@@ -5809,31 +5809,16 @@\n (0)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n while Tr\n@@ -5821,39 +5821,24 @@\n e True:%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # Capture f\n@@ -5851,39 +5851,24 @@\n y-frame%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5902,31 +5902,16 @@\n d()%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # Resiz\n@@ -5978,39 +5978,24 @@\n cessing%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -6057,31 +6057,16 @@\n LE)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # Conve\n@@ -6156,39 +6156,24 @@\n n uses)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -6214,38 +6214,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # d\n@@ -6235,39 +6235,24 @@\n g boxes%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -6363,39 +6363,24 @@\n FACTOR)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if bounding\n@@ -6393,39 +6393,24 @@\n .any():%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n for index, \n@@ -6444,39 +6444,24 @@\n boxes):%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -6545,39 +6545,24 @@\n = face%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if accuracy\n@@ -6572,39 +6572,24 @@\n t; 0.5:%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -6716,39 +6716,24 @@\n x2), :%5D%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -6918,39 +6918,9 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A %3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n+ \n %3Cbr%3E\n@@ -7044,39 +7044,24 @@\n esized)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7197,38 +7197,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # t\n@@ -7235,39 +7235,24 @@\n atabase%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7350,39 +7350,24 @@\n = None%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7465,31 +7465,16 @@\n one%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n for nam\n@@ -7509,39 +7509,24 @@\n tems():%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7687,39 +7687,24 @@\n ing, 0)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if min_dist\n@@ -7747,39 +7747,24 @@\n stance:%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7906,39 +7906,24 @@\n = name%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8086,38 +8086,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # i\n@@ -8142,39 +8142,24 @@\n too big%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if min_dist\n@@ -8190,39 +8190,24 @@\n t; 1.1:%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8341,39 +8341,24 @@\n SIMPLEX%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8479,39 +8479,24 @@\n / SCALE%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8622,39 +8622,24 @@\n LE - 10%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8776,39 +8776,24 @@\n _text))%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8986,38 +8986,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # s\n@@ -9018,39 +9018,24 @@\n t image%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -9150,39 +9150,24 @@\n SCALE))%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -9285,39 +9285,24 @@\n SCALE))%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -9445,38 +9445,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # D\n@@ -9476,31 +9476,16 @@\n ame%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &\n@@ -9526,31 +9526,16 @@\n me)%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if cv2.\n@@ -9573,31 +9573,16 @@\n '):%3Cbr%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n break%3Cb\n@@ -9593,38 +9593,8 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # Wh\n@@ -9641,51 +9641,21 @@\n br%3E%0A\n-%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Acap.release()%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n+cap.release()\n %3Cbr%3E\n",
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}
]
}2018/11/07 12:09:18
2018/11/07 12:09:18
| voter | raise-me-up |
| author | ferumflex |
| permlink | how-to-write-your-own-recognition-system-using-python-and-facenet |
| weight | 1 (0.01%) |
| Transaction Info | Block #27490653/Trx 01685fde0ab540fc6fa1c4ffe19b7dc774c856a4 |
View Raw JSON Data
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"timestamp": "2018-11-07T12:09:18",
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}ferumflexpublished a new post: how-to-write-your-own-recognition-system-using-python-and-facenet2018/11/07 12:08:42
ferumflexpublished a new post: how-to-write-your-own-recognition-system-using-python-and-facenet
2018/11/07 12:08:42
| parent author | |
| parent permlink | technology |
| author | ferumflex |
| permlink | how-to-write-your-own-recognition-system-using-python-and-facenet |
| title | How to write your own recognition system using python and facenet |
| body | @@ -3,16 +3,80 @@ tml%3E%0A%3Cp%3E - +%3Cimg src=%22https://ommmm.com/media/my.jpg%22 width=%22280%22 /%3E%3C/p%3E%0A%3Cp%3E First ti @@ -1254,16 +1254,31 @@ env%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A source e @@ -2303,24 +2303,39 @@ port os%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A import fnmat @@ -2337,24 +2337,39 @@ fnmatch%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A import re%3Cbr @@ -2379,41 +2379,101 @@ br%3E%0A -import numpy as np%3Cbr%3E%0Aimport cv2 +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Aimport numpy as np%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Aimport cv2%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A %3Cbr%3E @@ -2515,24 +2515,39 @@ ct_face%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A from facenet @@ -2566,24 +2566,39 @@ facenet%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A import tenso @@ -2618,16 +2618,46 @@ r%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A MINSIZE @@ -2665,16 +2665,31 @@ 20%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A THRESHOL @@ -2712,16 +2712,31 @@ .7%5D%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A FACTOR = @@ -2746,16 +2746,31 @@ 709%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A MARGIN = @@ -2777,16 +2777,31 @@ 44%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A SCALE = @@ -2873,16 +2873,31 @@ del%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A sess = t @@ -2912,16 +2912,31 @@ n()%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A with ses @@ -2947,32 +2947,47 @@ _default():%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -3028,32 +3028,62 @@ 4759')%3Cbr%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -3155,32 +3155,47 @@ (%22input:0%22)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -3264,32 +3264,47 @@ eddings:0%22)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -3391,24 +3391,39 @@ ain:0%22)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3469,24 +3469,39 @@ shape()%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3564,16 +3564,31 @@ %5B1%5D%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A pnet, rn @@ -3640,24 +3640,54 @@ e)%3Cbr%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A def get_embe @@ -3702,24 +3702,39 @@ sized):%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3810,24 +3810,39 @@ ize, 3)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3862,24 +3862,39 @@ ict = %7B%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -3955,24 +3955,39 @@ haped, %3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4049,24 +4049,39 @@ False,%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4089,24 +4089,39 @@ %7D%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4181,24 +4181,39 @@ d_dict)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4241,24 +4241,54 @@ ng%3Cbr%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A def prewhite @@ -4293,24 +4293,39 @@ ten(x):%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4345,32 +4345,47 @@ np.mean(x)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -4403,24 +4403,39 @@ .std(x)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4484,32 +4484,47 @@ rt(x.size))%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -4575,24 +4575,39 @@ td_adj)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -4881,32 +4881,47 @@ where='.'):%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -4982,24 +4982,39 @@ RECASE)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5114,16 +5114,46 @@ r%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # load i @@ -5162,16 +5162,31 @@ ges%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A EMBEDDIN @@ -5197,16 +5197,31 @@ %7B%7D%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A for file @@ -5258,24 +5258,39 @@ ages'):%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5323,24 +5323,39 @@ lename)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5452,32 +5452,47 @@ LD, FACTOR)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if bounding_box @@ -5505,16 +5505,31 @@ ():%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A assert @@ -5593,24 +5593,39 @@ image'%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5679,24 +5679,39 @@ oxes%5B0%5D%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5770,24 +5770,39 @@ y = box%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if accuracy @@ -5812,24 +5812,39 @@ t; 0.7:%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -5943,32 +5943,47 @@ int(x2), :%5D%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -6132,24 +6132,39 @@ _CUBIC)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -6247,32 +6247,47 @@ en(resized)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -6392,24 +6392,39 @@ ename))%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -6532,14 +6532,44 @@ br%3E%0A - else: +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A else:%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A %3Cbr%3E @@ -6736,16 +6736,31 @@ deo%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A cap = cv @@ -6781,16 +6781,31 @@ (0)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A while Tr @@ -6808,24 +6808,39 @@ e True:%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # Capture f @@ -6849,32 +6849,47 @@ me-by-frame%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -6919,16 +6919,31 @@ d()%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # Resiz @@ -7010,24 +7010,39 @@ cessing%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7100,24 +7100,39 @@ =SCALE)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # Convert t @@ -7218,24 +7218,39 @@ n uses)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7287,16 +7287,46 @@ r%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # detec @@ -7342,24 +7342,39 @@ g boxes%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7485,24 +7485,39 @@ FACTOR)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if bounding @@ -7530,24 +7530,39 @@ .any():%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A for index, @@ -7596,24 +7596,39 @@ boxes):%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7712,24 +7712,39 @@ = face%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if accuracy @@ -7754,24 +7754,39 @@ t; 0.5:%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -7913,24 +7913,39 @@ x2), :%5D%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8126,17 +8126,47 @@ IC)%3Cbr%3E%0A - +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A %3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A %3Cbr%3E%0A &n @@ -8286,24 +8286,39 @@ esized)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8450,16 +8450,46 @@ r%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # try t @@ -8522,24 +8522,39 @@ atabase%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8652,24 +8652,39 @@ = None%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -8778,24 +8778,39 @@ = None%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A for name, e @@ -8841,24 +8841,39 @@ tems():%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -9034,24 +9034,39 @@ ing, 0)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if min_dist @@ -9109,24 +9109,39 @@ stance:%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -9279,32 +9279,47 @@ name = name%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -9474,16 +9474,46 @@ r%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # if we @@ -9564,24 +9564,39 @@ too big%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if min_dist @@ -9627,24 +9627,39 @@ t; 1.1:%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -9793,24 +9793,39 @@ SIMPLEX%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -9946,24 +9946,39 @@ / SCALE%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -10104,24 +10104,39 @@ LE - 10%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -10273,24 +10273,39 @@ _text))%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -10494,16 +10494,46 @@ r%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # show @@ -10560,24 +10560,39 @@ t image%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -10703,32 +10703,47 @@ t(y/SCALE))%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A &nb @@ -10857,24 +10857,39 @@ SCALE))%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -11028,16 +11028,46 @@ r%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # Displ @@ -11089,24 +11089,39 @@ g frame%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A   @@ -11154,24 +11154,39 @@ frame)%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A if cv2.wait @@ -11220,16 +11220,31 @@ '):%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A break%3Cb @@ -11251,16 +11251,46 @@ r%3E%0A%3Cbr%3E%0A +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A # When e @@ -11333,21 +11333,51 @@ br%3E%0A -cap.release() +%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Acap.release()%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A %3Cbr%3E |
| json metadata | {"tags":["technology"],"links":["https://github.com/davidsandberg/facenet","https://www.tensorflow.org/","https://github.com/skvark/opencv-python","https://www.python.org/downloads/","https://github.com/davidsandberg/facenet#pre-trained-models","https://drive.google.com/open?id=1EXPBSXwTaqrSC0OhUdXNmKSh9qJUQ55-","https://gist.github.com/FerumFlex/cb134649537b339c6c465732a4f1f8a8"],"app":"steemit/0.1","format":"html","image":["https://ommmm.com/media/my.jpg"]} |
| Transaction Info | Block #27490641/Trx 170193925064efc7bfca948ed41c5e9c76d9e223 |
View Raw JSON Data
{
"trx_id": "170193925064efc7bfca948ed41c5e9c76d9e223",
"block": 27490641,
"trx_in_block": 25,
"op_in_trx": 0,
"virtual_op": 0,
"timestamp": "2018-11-07T12:08:42",
"op": [
"comment",
{
"parent_author": "",
"parent_permlink": "technology",
"author": "ferumflex",
"permlink": "how-to-write-your-own-recognition-system-using-python-and-facenet",
"title": "How to write your own recognition system using python and facenet",
"body": "@@ -3,16 +3,80 @@\n tml%3E%0A%3Cp%3E\n-\n \n+%3Cimg src=%22https://ommmm.com/media/my.jpg%22 width=%22280%22 /%3E%3C/p%3E%0A%3Cp%3E\n First ti\n@@ -1254,16 +1254,31 @@\n env%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n source e\n@@ -2303,24 +2303,39 @@\n port os%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n import fnmat\n@@ -2337,24 +2337,39 @@\n fnmatch%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n import re%3Cbr\n@@ -2379,41 +2379,101 @@\n br%3E%0A\n-import numpy as np%3Cbr%3E%0Aimport cv2\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Aimport numpy as np%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Aimport cv2%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n %3Cbr%3E\n@@ -2515,24 +2515,39 @@\n ct_face%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n from facenet\n@@ -2566,24 +2566,39 @@\n facenet%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n import tenso\n@@ -2618,16 +2618,46 @@\n r%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n MINSIZE \n@@ -2665,16 +2665,31 @@\n 20%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n THRESHOL\n@@ -2712,16 +2712,31 @@\n .7%5D%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n FACTOR =\n@@ -2746,16 +2746,31 @@\n 709%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n MARGIN =\n@@ -2777,16 +2777,31 @@\n 44%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n SCALE = \n@@ -2873,16 +2873,31 @@\n del%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n sess = t\n@@ -2912,16 +2912,31 @@\n n()%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n with ses\n@@ -2947,32 +2947,47 @@\n _default():%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -3028,32 +3028,62 @@\n 4759')%3Cbr%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -3155,32 +3155,47 @@\n (%22input:0%22)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -3264,32 +3264,47 @@\n eddings:0%22)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -3391,24 +3391,39 @@\n ain:0%22)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3469,24 +3469,39 @@\n shape()%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3564,16 +3564,31 @@\n %5B1%5D%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n pnet, rn\n@@ -3640,24 +3640,54 @@\n e)%3Cbr%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n def get_embe\n@@ -3702,24 +3702,39 @@\n sized):%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3810,24 +3810,39 @@\n ize, 3)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3862,24 +3862,39 @@\n ict = %7B%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -3955,24 +3955,39 @@\n haped, %3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4049,24 +4049,39 @@\n False,%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4089,24 +4089,39 @@\n %7D%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4181,24 +4181,39 @@\n d_dict)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4241,24 +4241,54 @@\n ng%3Cbr%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n def prewhite\n@@ -4293,24 +4293,39 @@\n ten(x):%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4345,32 +4345,47 @@\n np.mean(x)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -4403,24 +4403,39 @@\n .std(x)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4484,32 +4484,47 @@\n rt(x.size))%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -4575,24 +4575,39 @@\n td_adj)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -4881,32 +4881,47 @@\n where='.'):%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -4982,24 +4982,39 @@\n RECASE)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5114,16 +5114,46 @@\n r%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # load i\n@@ -5162,16 +5162,31 @@\n ges%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n EMBEDDIN\n@@ -5197,16 +5197,31 @@\n %7B%7D%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n for file\n@@ -5258,24 +5258,39 @@\n ages'):%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5323,24 +5323,39 @@\n lename)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5452,32 +5452,47 @@\n LD, FACTOR)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if bounding_box\n@@ -5505,16 +5505,31 @@\n ():%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n assert \n@@ -5593,24 +5593,39 @@\n image'%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5679,24 +5679,39 @@\n oxes%5B0%5D%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5770,24 +5770,39 @@\n y = box%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if accuracy\n@@ -5812,24 +5812,39 @@\n t; 0.7:%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -5943,32 +5943,47 @@\n int(x2), :%5D%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -6132,24 +6132,39 @@\n _CUBIC)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -6247,32 +6247,47 @@\n en(resized)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -6392,24 +6392,39 @@\n ename))%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -6532,14 +6532,44 @@\n br%3E%0A\n- else:\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A else:%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n %3Cbr%3E\n@@ -6736,16 +6736,31 @@\n deo%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n cap = cv\n@@ -6781,16 +6781,31 @@\n (0)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n while Tr\n@@ -6808,24 +6808,39 @@\n e True:%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # Capture f\n@@ -6849,32 +6849,47 @@\n me-by-frame%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -6919,16 +6919,31 @@\n d()%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # Resiz\n@@ -7010,24 +7010,39 @@\n cessing%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7100,24 +7100,39 @@\n =SCALE)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # Convert t\n@@ -7218,24 +7218,39 @@\n n uses)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7287,16 +7287,46 @@\n r%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # detec\n@@ -7342,24 +7342,39 @@\n g boxes%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7485,24 +7485,39 @@\n FACTOR)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if bounding\n@@ -7530,24 +7530,39 @@\n .any():%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n for index, \n@@ -7596,24 +7596,39 @@\n boxes):%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7712,24 +7712,39 @@\n = face%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if accuracy\n@@ -7754,24 +7754,39 @@\n t; 0.5:%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -7913,24 +7913,39 @@\n x2), :%5D%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8126,17 +8126,47 @@\n IC)%3Cbr%3E%0A\n- \n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A %3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n %3Cbr%3E%0A &n\n@@ -8286,24 +8286,39 @@\n esized)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8450,16 +8450,46 @@\n r%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # try t\n@@ -8522,24 +8522,39 @@\n atabase%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8652,24 +8652,39 @@\n = None%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -8778,24 +8778,39 @@\n = None%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n for name, e\n@@ -8841,24 +8841,39 @@\n tems():%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -9034,24 +9034,39 @@\n ing, 0)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if min_dist\n@@ -9109,24 +9109,39 @@\n stance:%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -9279,32 +9279,47 @@\n name = name%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -9474,16 +9474,46 @@\n r%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # if we\n@@ -9564,24 +9564,39 @@\n too big%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if min_dist\n@@ -9627,24 +9627,39 @@\n t; 1.1:%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -9793,24 +9793,39 @@\n SIMPLEX%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -9946,24 +9946,39 @@\n / SCALE%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -10104,24 +10104,39 @@\n LE - 10%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -10273,24 +10273,39 @@\n _text))%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -10494,16 +10494,46 @@\n r%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # show \n@@ -10560,24 +10560,39 @@\n t image%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -10703,32 +10703,47 @@\n t(y/SCALE))%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n &nb\n@@ -10857,24 +10857,39 @@\n SCALE))%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -11028,16 +11028,46 @@\n r%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # Displ\n@@ -11089,24 +11089,39 @@\n g frame%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n  \n@@ -11154,24 +11154,39 @@\n frame)%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n if cv2.wait\n@@ -11220,16 +11220,31 @@\n '):%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n break%3Cb\n@@ -11251,16 +11251,46 @@\n r%3E%0A%3Cbr%3E%0A\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n # When e\n@@ -11333,21 +11333,51 @@\n br%3E%0A\n-cap.release()\n+%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0Acap.release()%3Cbr%3E%0A%3Cbr%3E%0A%3Cbr%3E%0A\n %3Cbr%3E\n",
"json_metadata": "{\"tags\":[\"technology\"],\"links\":[\"https://github.com/davidsandberg/facenet\",\"https://www.tensorflow.org/\",\"https://github.com/skvark/opencv-python\",\"https://www.python.org/downloads/\",\"https://github.com/davidsandberg/facenet#pre-trained-models\",\"https://drive.google.com/open?id=1EXPBSXwTaqrSC0OhUdXNmKSh9qJUQ55-\",\"https://gist.github.com/FerumFlex/cb134649537b339c6c465732a4f1f8a8\"],\"app\":\"steemit/0.1\",\"format\":\"html\",\"image\":[\"https://ommmm.com/media/my.jpg\"]}"
}
]
}ferumflexpublished a new post: how-to-write-your-own-recognition-system-using-python-and-facenet2018/11/07 12:02:51
ferumflexpublished a new post: how-to-write-your-own-recognition-system-using-python-and-facenet
2018/11/07 12:02:51
| parent author | |
| parent permlink | technology |
| author | ferumflex |
| permlink | how-to-write-your-own-recognition-system-using-python-and-facenet |
| title | How to write your own recognition system using python and facenet |
| body | <html> <p>First time when I saw how Face ID for Apple worked, I thought it might be hard to implement it. In general, yes if you write all things from scratch, it can be a different problem. Nowadays we have plenty of instruments which we can use to build such system much faster. Just use good libraries.</p> <p>One of such library is <a href="https://github.com/davidsandberg/facenet">facenet</a>. Also there are others but we will not discuss them in this text. If you are interested just google or pm me.</p> <p>To build this program we will use python3.6, <a href="https://www.tensorflow.org/">tensorflow</a>, <a href="https://github.com/skvark/opencv-python">opencv</a>, facenet and a little bit of magic. So first of all you need python3.6 to be installed on your computer (it should work with python3.7, but I did not test it). If you do not have python3.6 installed please follow instructions on <a href="https://www.python.org/downloads/">official python site</a>.</p> <p>1. Here are we go. First of all you need to create virtual environment for python and activate it(assuming I've created folder for your new project and you are already in it):</p> <pre><code>python3 -m venv env<br> source env/bin/activate</code></pre> <p>2. After that install all requirements with this command:</p> <pre><code>pip3 install facenet opencv-python</code></pre> <p>That's all we need. </p> <p>3. Next step we need to download one of the pre-trained model from <a href="https://github.com/davidsandberg/facenet#pre-trained-models">facenet</a>(section Pre-trained models). I can not say what exactly model is better, both works fine so you can use what ever you want.</p> <p>Let's assume you selected model <a href="https://drive.google.com/open?id=1EXPBSXwTaqrSC0OhUdXNmKSh9qJUQ55-">20180402-114759</a>. Just download zip file and unzip it to your project folder. </p> <p>4. Take a photo of your face and place it in the folder images. Extension should be *.jpg.</p> <p>5. In this step we are going to start writing script. I will explain in general what those blocks of code do and after latest block we will combine it all together. </p> <p>Import things that we need, and init some constants:</p> <pre><code>import os<br> import fnmatch<br> import re<br> <br> import numpy as np<br> import cv2<br> from facenet.src.align import detect_face<br> from facenet.src import facenet<br> import tensorflow as tf<br> <br> MINSIZE = 20<br> THRESHOLD = [0.6, 0.7, 0.7]<br> FACTOR = 0.709<br> MARGIN = 44<br> SCALE = 0.25</code></pre> <p>Init facenet model:</p> <pre><code># init model<br> sess = tf.Session()<br> with sess.as_default():<br> facenet.load_model('20180402-114759')<br> <br> images_placeholder = tf.get_default_graph().get_tensor_by_name("input:0")<br> embeddings = tf.get_default_graph().get_tensor_by_name("embeddings:0")<br> phase_train_placeholder = tf.get_default_graph().get_tensor_by_name("phase_train:0")<br> embedding_size = embeddings.get_shape()<br> input_image_size = images_placeholder.get_shape()[1]<br> pnet, rnet, onet = detect_face.create_mtcnn(sess, None)<br> <br> def get_embedding(resized):<br> reshaped = resized.reshape(-1, input_image_size, input_image_size, 3)<br> feed_dict = {<br> images_placeholder: reshaped, <br> phase_train_placeholder: False,<br> }<br> embedding = sess.run(embeddings, feed_dict=feed_dict)<br> return embedding<br> <br> def prewhiten(x):<br> mean = np.mean(x)<br> std = np.std(x)<br> std_adj = np.maximum(std, 1.0/np.sqrt(x.size))<br> y = np.multiply(np.subtract(x, mean), 1/std_adj)<br> return y</code></pre> <p>20180402-114759 - name of the folder where we extracted pre-trained model. </p> <p>Load images from folder, find face in it(should be only one face on image) and create embedding for each face:</p> <pre><code>def findfiles(which, where='.'):<br> rule = re.compile(fnmatch.translate(which), re.IGNORECASE)<br> return [os.path.join(where, name) for name in os.listdir(where) if rule.match(name)]<br> <br> # load images<br> EMBEDDINGS = {}<br> for filename in findfiles('*.jpg', 'images'):<br> img = cv2.imread(filename)<br> bounding_boxes, _ = detect_face.detect_face(img, MINSIZE, pnet, rnet, onet, THRESHOLD, FACTOR)<br> if bounding_boxes.any():<br> assert bounding_boxes.shape[0] == 1, 'Find too many faces on the image'<br> box = bounding_boxes[0]<br> x, y, x2, y2, accuracy = box<br> if accuracy > 0.7:<br> cropped = img[int(y):int(y2), int(x):int(x2), :]<br> resized = cv2.resize(cropped, (input_image_size, input_image_size), interpolation=cv2.INTER_CUBIC)<br> prewhitened = prewhiten(resized)<br> name, _ = os.path.splitext(os.path.basename(filename))<br> EMBEDDINGS[name] = get_embedding(prewhitened)<br> else:<br> raise Exception('Can not find face on the image')</code></pre> <p>Init opencv, detect faces using facenet and search in our database:</p> <pre><code># init video<br> cap = cv2.VideoCapture(0)<br> while True:<br> # Capture frame-by-frame<br> ret, frame = cap.read()<br> # Resize frame of video to 1/4 size for faster face recognition processing<br> img = cv2.resize(frame, (0, 0), fx=SCALE, fy=SCALE)<br> # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)<br> img = img[:, :, ::-1]<br> <br> # detect bounding boxes<br> bounding_boxes, list_points = detect_face.detect_face(img, MINSIZE, pnet, rnet, onet, THRESHOLD, FACTOR)<br> if bounding_boxes.any():<br> for index, face in enumerate(bounding_boxes):<br> x, y, x2, y2, accuracy = face<br> if accuracy > 0.5:<br> cropped = img[int(y):int(y2), int(x):int(x2), :]<br> resized = cv2.resize(cropped, (input_image_size, input_image_size), interpolation=cv2.INTER_CUBIC)<br> <br> prewhitened = prewhiten(resized)<br> guest_embedding = get_embedding(prewhitened)<br> <br> # try to find guest face in our database<br> min_distance = None<br> min_name = None<br> for name, embedding in EMBEDDINGS.items():<br> distance = facenet.distance(guest_embedding, embedding, 0)<br> if min_distance is None or min_distance > distance:<br> min_name = name<br> min_distance = distance<br> <br> # if we found face in database and distance is not too big<br> if min_distance and min_distance < 1.1:<br> font = cv2.FONT_HERSHEY_SIMPLEX<br> x_text = x / SCALE<br> y_text = y / SCALE - 10<br> point = (int(x_text), int(y_text))<br> cv2.putText(frame, min_name, point, font, 1, (255, 255, 255), 2, cv2.LINE_AA)<br> <br> # show rectangle for face at image<br> point = (int(x/SCALE), int(y/SCALE))<br> point2 = (int(x2/SCALE), int(y2/SCALE))<br> cv2.rectangle(frame, point, point2, (0, 255, 0), 2)<br> <br> # Display the resulting frame<br> cv2.imshow('frame', frame)<br> if cv2.waitKey(1) & 0xFF == ord('q'):<br> break<br> <br> # When everything done, release the capture<br> cap.release()<br> cv2.destroyAllWindows()</code></pre> <p>Combining all together. You can check script <a href="https://gist.github.com/FerumFlex/cb134649537b339c6c465732a4f1f8a8">on gist</a>.</p> <p><br></p> </html> |
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"title": "How to write your own recognition system using python and facenet",
"body": "<html>\n<p>First time when I saw how Face ID for Apple worked, I thought it might be hard to implement it. In general, yes if you write all things from scratch, it can be a different problem. Nowadays we have plenty of instruments which we can use to build such system much faster. Just use good libraries.</p>\n<p>One of such library is <a href=\"https://github.com/davidsandberg/facenet\">facenet</a>. Also there are others but we will not discuss them in this text. If you are interested just google or pm me.</p>\n<p>To build this program we will use python3.6, <a href=\"https://www.tensorflow.org/\">tensorflow</a>, <a href=\"https://github.com/skvark/opencv-python\">opencv</a>, facenet and a little bit of magic. So first of all you need python3.6 to be installed on your computer (it should work with python3.7, but I did not test it). If you do not have python3.6 installed please follow instructions on <a href=\"https://www.python.org/downloads/\">official python site</a>.</p>\n<p>1. Here are we go. First of all you need to create virtual environment for python and activate it(assuming I've created folder for your new project and you are already in it):</p>\n<pre><code>python3 -m venv env<br>\nsource env/bin/activate</code></pre>\n<p>2. After that install all requirements with this command:</p>\n<pre><code>pip3 install facenet opencv-python</code></pre>\n<p>That's all we need. </p>\n<p>3. Next step we need to download one of the pre-trained model from <a href=\"https://github.com/davidsandberg/facenet#pre-trained-models\">facenet</a>(section Pre-trained models). I can not say what exactly model is better, both works fine so you can use what ever you want.</p>\n<p>Let's assume you selected model <a href=\"https://drive.google.com/open?id=1EXPBSXwTaqrSC0OhUdXNmKSh9qJUQ55-\">20180402-114759</a>. Just download zip file and unzip it to your project folder. </p>\n<p>4. Take a photo of your face and place it in the folder images. Extension should be *.jpg.</p>\n<p>5. In this step we are going to start writing script. I will explain in general what those blocks of code do and after latest block we will combine it all together. </p>\n<p>Import things that we need, and init some constants:</p>\n<pre><code>import os<br>\nimport fnmatch<br>\nimport re<br>\n<br>\nimport numpy as np<br>\nimport cv2<br>\nfrom facenet.src.align import detect_face<br>\nfrom facenet.src import facenet<br>\nimport tensorflow as tf<br>\n<br>\nMINSIZE = 20<br>\nTHRESHOLD = [0.6, 0.7, 0.7]<br>\nFACTOR = 0.709<br>\nMARGIN = 44<br>\nSCALE = 0.25</code></pre>\n<p>Init facenet model:</p>\n<pre><code># init model<br>\nsess = tf.Session()<br>\nwith sess.as_default():<br>\n facenet.load_model('20180402-114759')<br>\n<br>\n images_placeholder = tf.get_default_graph().get_tensor_by_name(\"input:0\")<br>\n embeddings = tf.get_default_graph().get_tensor_by_name(\"embeddings:0\")<br>\n phase_train_placeholder = tf.get_default_graph().get_tensor_by_name(\"phase_train:0\")<br>\n embedding_size = embeddings.get_shape()<br>\n input_image_size = images_placeholder.get_shape()[1]<br>\npnet, rnet, onet = detect_face.create_mtcnn(sess, None)<br>\n<br>\ndef get_embedding(resized):<br>\n reshaped = resized.reshape(-1, input_image_size, input_image_size, 3)<br>\n feed_dict = {<br>\n images_placeholder: reshaped, <br>\n phase_train_placeholder: False,<br>\n }<br>\n embedding = sess.run(embeddings, feed_dict=feed_dict)<br>\n return embedding<br>\n<br>\ndef prewhiten(x):<br>\n mean = np.mean(x)<br>\n std = np.std(x)<br>\n std_adj = np.maximum(std, 1.0/np.sqrt(x.size))<br>\n y = np.multiply(np.subtract(x, mean), 1/std_adj)<br>\n return y</code></pre>\n<p>20180402-114759 - name of the folder where we extracted pre-trained model. </p>\n<p>Load images from folder, find face in it(should be only one face on image) and create embedding for each face:</p>\n<pre><code>def findfiles(which, where='.'):<br>\n rule = re.compile(fnmatch.translate(which), re.IGNORECASE)<br>\n return [os.path.join(where, name) for name in os.listdir(where) if rule.match(name)]<br>\n<br>\n# load images<br>\nEMBEDDINGS = {}<br>\nfor filename in findfiles('*.jpg', 'images'):<br>\n img = cv2.imread(filename)<br>\n bounding_boxes, _ = detect_face.detect_face(img, MINSIZE, pnet, rnet, onet, THRESHOLD, FACTOR)<br>\n if bounding_boxes.any():<br>\n assert bounding_boxes.shape[0] == 1, 'Find too many faces on the image'<br>\n box = bounding_boxes[0]<br>\n x, y, x2, y2, accuracy = box<br>\n if accuracy > 0.7:<br>\n cropped = img[int(y):int(y2), int(x):int(x2), :]<br>\n resized = cv2.resize(cropped, (input_image_size, input_image_size), interpolation=cv2.INTER_CUBIC)<br>\n prewhitened = prewhiten(resized)<br>\n name, _ = os.path.splitext(os.path.basename(filename))<br>\n EMBEDDINGS[name] = get_embedding(prewhitened)<br>\n else:<br>\n raise Exception('Can not find face on the image')</code></pre>\n<p>Init opencv, detect faces using facenet and search in our database:</p>\n<pre><code># init video<br>\ncap = cv2.VideoCapture(0)<br>\nwhile True:<br>\n # Capture frame-by-frame<br>\n ret, frame = cap.read()<br>\n # Resize frame of video to 1/4 size for faster face recognition processing<br>\n img = cv2.resize(frame, (0, 0), fx=SCALE, fy=SCALE)<br>\n # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)<br>\n img = img[:, :, ::-1]<br>\n<br>\n # detect bounding boxes<br>\n bounding_boxes, list_points = detect_face.detect_face(img, MINSIZE, pnet, rnet, onet, THRESHOLD, FACTOR)<br>\n if bounding_boxes.any():<br>\n for index, face in enumerate(bounding_boxes):<br>\n x, y, x2, y2, accuracy = face<br>\n if accuracy > 0.5:<br>\n cropped = img[int(y):int(y2), int(x):int(x2), :]<br>\n resized = cv2.resize(cropped, (input_image_size, input_image_size), interpolation=cv2.INTER_CUBIC)<br>\n <br>\n prewhitened = prewhiten(resized)<br>\n guest_embedding = get_embedding(prewhitened)<br>\n<br>\n # try to find guest face in our database<br>\n min_distance = None<br>\n min_name = None<br>\n for name, embedding in EMBEDDINGS.items():<br>\n distance = facenet.distance(guest_embedding, embedding, 0)<br>\n if min_distance is None or min_distance > distance:<br>\n min_name = name<br>\n min_distance = distance<br>\n<br>\n # if we found face in database and distance is not too big<br>\n if min_distance and min_distance < 1.1:<br>\n font = cv2.FONT_HERSHEY_SIMPLEX<br>\n x_text = x / SCALE<br>\n y_text = y / SCALE - 10<br>\n point = (int(x_text), int(y_text))<br>\n cv2.putText(frame, min_name, point, font, 1, (255, 255, 255), 2, cv2.LINE_AA)<br>\n<br>\n # show rectangle for face at image<br>\n point = (int(x/SCALE), int(y/SCALE))<br>\n point2 = (int(x2/SCALE), int(y2/SCALE))<br>\n cv2.rectangle(frame, point, point2, (0, 255, 0), 2)<br>\n<br>\n # Display the resulting frame<br>\n cv2.imshow('frame', frame)<br>\n if cv2.waitKey(1) & 0xFF == ord('q'):<br>\n break<br>\n<br>\n# When everything done, release the capture<br>\ncap.release()<br>\ncv2.destroyAllWindows()</code></pre>\n<p>Combining all together. You can check script <a href=\"https://gist.github.com/FerumFlex/cb134649537b339c6c465732a4f1f8a8\">on gist</a>.</p>\n<p><br></p>\n</html>",
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}steemdelegated 1.251 SP to @ferumflex2018/05/16 20:17:12
steemdelegated 1.251 SP to @ferumflex
2018/05/16 20:17:12
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}steemdelegated 7.186 SP to @ferumflex2018/01/09 06:38:15
steemdelegated 7.186 SP to @ferumflex
2018/01/09 06:38:15
| delegator | steem |
| delegatee | ferumflex |
| vesting shares | 11688.058714 VESTS |
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}2017/09/27 16:55:54
2017/09/27 16:55:54
| parent author | ferumflex |
| parent permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
| author | kaitlynmoore01 |
| permlink | re-ferumflex-how-to-run-ico-on-ethereum-s-smart-contracts-20170927t165553069z |
| title | |
| body | Very good article. Really appreciate you bring this to our attention. I've been asking myself. How many people really do a proper background check before seriously investing in an ICO? Do you know this interesting site? https://www.coincheckup.com The best crypto analysis site by far. Complete in depth investment analysis. |
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"body": "Very good article. Really appreciate you bring this to our attention. I've been asking myself. How many people really do a proper background check before seriously investing in an ICO? Do you know this interesting site? https://www.coincheckup.com The best crypto analysis site by far. Complete in depth investment analysis.",
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}steemdelegated 7.340 SP to @ferumflex2017/08/04 05:21:27
steemdelegated 7.340 SP to @ferumflex
2017/08/04 05:21:27
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ferumflexclaimed reward balance: 0.215 SBD, 0.225 SP
2017/07/26 08:02:15
| account | ferumflex |
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| reward sbd | 0.215 SBD |
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}ferumflexreceived 0.017 SBD, 0.014 SP author reward for @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts2017/07/26 07:52:30
ferumflexreceived 0.017 SBD, 0.014 SP author reward for @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/26 07:52:30
| author | ferumflex |
| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
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}2017/07/21 16:12:51
2017/07/21 16:12:51
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | kassie-vegas |
| permlink | re-ferumflex-hi-steemers-20170721t161233071z |
| title | |
| body | Hello and welcome to Steem! :-) Followed. **Follow me back** 😘 |
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}cryptolover82upvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts2017/07/21 16:03:15
cryptolover82upvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/21 16:03:15
| voter | cryptolover82 |
| author | ferumflex |
| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
| weight | 10000 (100.00%) |
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2017/07/21 16:03:09
| parent author | ferumflex |
| parent permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
| author | cryptolover82 |
| permlink | re-ferumflex-how-to-run-ico-on-ethereum-s-smart-contracts-20170721t160311633z |
| title | |
| body | Please read this before you buy any Token from ICO site.. you can buy token at much less price at exchange https://steemit.com/trueflip/@cryptolover82/ico-and-hitbtc-exchange |
| json metadata | {"tags":["cryptocurrency"],"links":["https://steemit.com/trueflip/@cryptolover82/ico-and-hitbtc-exchange"],"app":"steemit/0.1"} |
| Transaction Info | Block #13881423/Trx 49b9cb81dbf05d09f99706a2ffcbb15c5f77e85e |
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}ferumflexreceived 0.013 SBD, 0.014 SP author reward for @ferumflex / bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies2017/07/21 05:27:09
ferumflexreceived 0.013 SBD, 0.014 SP author reward for @ferumflex / bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies
2017/07/21 05:27:09
| author | ferumflex |
| permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| sbd payout | 0.013 SBD |
| steem payout | 0.000 STEEM |
| vesting payout | 22.732693 VESTS |
| Transaction Info | Block #13868714/Virtual Operation #3 |
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}ferumflexreceived 0.185 SBD, 0.197 SP author reward for @ferumflex / hi-steemers2017/07/20 20:45:57
ferumflexreceived 0.185 SBD, 0.197 SP author reward for @ferumflex / hi-steemers
2017/07/20 20:45:57
| author | ferumflex |
| permlink | hi-steemers |
| sbd payout | 0.185 SBD |
| steem payout | 0.000 STEEM |
| vesting payout | 320.330475 VESTS |
| Transaction Info | Block #13858303/Virtual Operation #8 |
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}ferumflexfollowed @sowellsvt2017/07/20 10:20:45
ferumflexfollowed @sowellsvt
2017/07/20 10:20:45
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}ferumflexupvoted (100.00%) @ferumflex / hi-steemers2017/07/19 10:39:30
ferumflexupvoted (100.00%) @ferumflex / hi-steemers
2017/07/19 10:39:30
| voter | ferumflex |
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}2017/07/19 10:39:18
2017/07/19 10:39:18
| voter | ferumflex |
| author | ferumflex |
| permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
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}ferumflexupvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts2017/07/19 10:39:09
ferumflexupvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/19 10:39:09
| voter | ferumflex |
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| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
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}2017/07/19 08:39:39
2017/07/19 08:39:39
| voter | jagg |
| author | ferumflex |
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}jaggupvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts2017/07/19 08:36:39
jaggupvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/19 08:36:39
| voter | jagg |
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| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
| weight | 10000 (100.00%) |
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View Raw JSON Data
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}ferumflexcancelled power down2017/07/19 08:35:45
ferumflexcancelled power down
2017/07/19 08:35:45
| account | ferumflex |
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}2017/07/19 08:33:45
2017/07/19 08:33:45
| parent author | nikop2 |
| parent permlink | re-ferumflex-how-to-run-ico-on-ethereum-s-smart-contracts-20170719t082222477z |
| author | ferumflex |
| permlink | re-nikop2-re-ferumflex-how-to-run-ico-on-ethereum-s-smart-contracts-20170719t083344629z |
| title | |
| body | Thank you) |
| json metadata | {"tags":["cryptocurrency"],"app":"steemit/0.1"} |
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}2017/07/19 08:33:39
2017/07/19 08:33:39
| required auths | [] |
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}2017/07/19 08:27:30
2017/07/19 08:27:30
| voter | ferumflex |
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}ferumflexupvoted (100.00%) @thecrytotrader / finally-earning-curation-rewards-2017719t134349205z2017/07/19 08:22:57
ferumflexupvoted (100.00%) @thecrytotrader / finally-earning-curation-rewards-2017719t134349205z
2017/07/19 08:22:57
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}2017/07/19 08:22:24
2017/07/19 08:22:24
| parent author | ferumflex |
| parent permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
| author | nikop2 |
| permlink | re-ferumflex-how-to-run-ico-on-ethereum-s-smart-contracts-20170719t082222477z |
| title | |
| body | Good explanation! I'm following you :) |
| json metadata | {"tags":["cryptocurrency"],"app":"steemit/0.1"} |
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}nikop2upvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts2017/07/19 08:22:21
nikop2upvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/19 08:22:21
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| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
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}proctologicupvoted (1.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts2017/07/19 08:18:30
proctologicupvoted (1.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/19 08:18:30
| voter | proctologic |
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| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
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}david.levinupvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts2017/07/19 07:57:33
david.levinupvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/19 07:57:33
| voter | david.levin |
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| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
| weight | 10000 (100.00%) |
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}lakovupvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts2017/07/19 07:55:33
lakovupvoted (100.00%) @ferumflex / how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/19 07:55:33
| voter | lakov |
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| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
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}ferumflexpublished a new post: how-to-run-ico-on-ethereum-s-smart-contracts2017/07/19 07:52:30
ferumflexpublished a new post: how-to-run-ico-on-ethereum-s-smart-contracts
2017/07/19 07:52:30
| parent author | |
| parent permlink | cryptocurrency |
| author | ferumflex |
| permlink | how-to-run-ico-on-ethereum-s-smart-contracts |
| title | How to run ICO on Ethereum's smart contracts? |
| body |  Hello! Today we have a lot if ICO's and ICO aren't run only lazy people. For organization you need a lot of time\money for writing white paper, advertisement on forum, creating landing page, creating community and the most important you should have a good idea and possibility to implement it. I am not going to tell you about all steps but only about creating smart contracts that accepts money(ethereum) and sends tokens according to the exchange rate. # Preparing We are going to use Ethereum wallet for uploading contracts and for test we will upload contracts to TEST NET. For this you need to run Ethereum wallet and switch to TEST NET. Wait some time until blocks are loaded, that can take few hours. For uploading our contract we need some test ethereum (testnet ropsten). You can get it on site http://faucet.ropsten.be:3001/ or write on comments I will send you a bit. # Creating and uploading contract We will create contract, that mint tokens when someone sends money to contract address. Contract will send back tokens according to the rate exchange. Also, ICO will work till defined block number and after that it will stop minting tokens. On the top select Contract, then Deploy new contract, copy and paste contract code https://gist.github.com/FerumFlex/1e35b45e13bf3fcadc45e2ae46245451. After this select contract name Crowdsale(name of contract) in the drop down fill other variables like on screenshot: https://steemitimages.com/DQmRme765jt9s4wMXBfYMQZbKZAW3FYSCMAYHNpAJhimpx4/s4rl25rkTeKvbm9BM-4-cA.png Few words about params Start block - Number of block when ICO starts. You can set block in the past and ICO starts immediately. I selected block number 1290000. End block - Number of block when ICO ends. I selected 1400000, this is approximately 76 days. Rate - this exchange rate. How many tokens will be minted for 1 ETH. Wallet - Address of YOUR wallet, contract will send ether to this wallet. Then click Deploy and set gas limit around 2000000 or greater and click Send. # Testing So your transaction was committed, and You need address of ICO contract and address of token(two different addressed). To get ICO contract address click on the transaction and click on link To: Crowdsale. See screenshot: https://steemitimages.com/DQma5ZLLCwhcS8xT4hVgJDJZRqukPaMCbHs8SwkjJnMbLHZ/SXKaqPjnTUqzg3t8wlLGbQ.png At the top you can see name of the contract (Crowdsale) and below it you can find address of the ICO contract (for my screenshot this is 0x9BeC1ABc21e7C60FfAacA5bAD561234C0f90c90A). At the end of the page you can find address of token(for my case this is 0x4E686a74dF3a00e68c451980585b5FC361aC118f). To add token to the list, click on Contracts and find button Watch Token at the bottom. You need to copy your token address at the input and click Ok. And now when someone sends ether to the ICO contract we will get ether in our wallet. Awesome :) # This is awesome, but I do not want to repeat these steps... You can use contracts that I uploaded, Send ether(ONLY in testnet ropsten) to address 0x9BeC1ABc21e7C60FfAacA5bAD561234C0f90c90A and you will get your tokens. Test ether you can get on site http://faucet.ropsten.be:3001/ or write me your address. Do not forget to add token to watching list. # Conclusion This is simple example of the ICO contract, but you can find more examples at https://github.com/OpenZeppelin/zeppelin-solidity/tree/master/contracts Happy ICO!!! |
| json metadata | {"tags":["cryptocurrency","money","crypto","ethereum","crowdsale"],"image":["https://steemitimages.com/DQmfNF4bHvH4a4x6zNsAhyLDqhCuHqvXRneut2HmKpyzMCP/d.png","https://steemitimages.com/DQmRme765jt9s4wMXBfYMQZbKZAW3FYSCMAYHNpAJhimpx4/s4rl25rkTeKvbm9BM-4-cA.png","https://steemitimages.com/DQma5ZLLCwhcS8xT4hVgJDJZRqukPaMCbHs8SwkjJnMbLHZ/SXKaqPjnTUqzg3t8wlLGbQ.png"],"links":["http://faucet.ropsten.be:3001/","https://gist.github.com/FerumFlex/1e35b45e13bf3fcadc45e2ae46245451","https://github.com/OpenZeppelin/zeppelin-solidity/tree/master/contracts"],"app":"steemit/0.1","format":"markdown"} |
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"author": "ferumflex",
"permlink": "how-to-run-ico-on-ethereum-s-smart-contracts",
"title": "How to run ICO on Ethereum's smart contracts?",
"body": "\n\nHello! Today we have a lot if ICO's and ICO aren't run only lazy people. For organization you need a lot of time\\money for writing white paper, advertisement on forum, creating landing page, creating community and the most important you should have a good idea and possibility to implement it. I am not going to tell you about all steps but only about creating smart contracts that accepts money(ethereum) and sends tokens according to the exchange rate.\n\n# Preparing\nWe are going to use Ethereum wallet for uploading contracts and for test we will upload contracts to TEST NET. For this you need to run Ethereum wallet and switch to TEST NET. Wait some time until blocks are loaded, that can take few hours. For uploading our contract we need some test ethereum (testnet ropsten). You can get it on site http://faucet.ropsten.be:3001/ or write on comments I will send you a bit.\n\n# Creating and uploading contract\nWe will create contract, that mint tokens when someone sends money to contract address. Contract will send back tokens according to the rate exchange. Also, ICO will work till defined block number and after that it will stop minting tokens. On the top select Contract, then Deploy new contract, copy and paste contract code https://gist.github.com/FerumFlex/1e35b45e13bf3fcadc45e2ae46245451. After this select contract name Crowdsale(name of contract) in the drop down fill other variables like on screenshot:\n\nhttps://steemitimages.com/DQmRme765jt9s4wMXBfYMQZbKZAW3FYSCMAYHNpAJhimpx4/s4rl25rkTeKvbm9BM-4-cA.png\n\nFew words about params\n\nStart block - Number of block when ICO starts. You can set block in the past and ICO starts immediately. I selected block number 1290000. \n\nEnd block - Number of block when ICO ends. I selected 1400000, this is approximately 76 days.\n\nRate - this exchange rate. How many tokens will be minted for 1 ETH.\n\nWallet - Address of YOUR wallet, contract will send ether to this wallet.\n\nThen click Deploy and set gas limit around 2000000 or greater and click Send.\n\n# Testing\nSo your transaction was committed, and You need address of ICO contract and address of token(two different addressed). To get ICO contract address click on the transaction and click on link To: Crowdsale. See screenshot:\n\nhttps://steemitimages.com/DQma5ZLLCwhcS8xT4hVgJDJZRqukPaMCbHs8SwkjJnMbLHZ/SXKaqPjnTUqzg3t8wlLGbQ.png\n\nAt the top you can see name of the contract (Crowdsale) and below it you can find address of the ICO contract (for my screenshot this is 0x9BeC1ABc21e7C60FfAacA5bAD561234C0f90c90A). At the end of the page you can find address of token(for my case this is 0x4E686a74dF3a00e68c451980585b5FC361aC118f). To add token to the list, click on Contracts and find button Watch Token at the bottom. You need to copy your token address at the input and click Ok. And now when someone sends ether to the ICO contract we will get ether in our wallet. Awesome :)\n\n# This is awesome, but I do not want to repeat these steps...\nYou can use contracts that I uploaded, Send ether(ONLY in testnet ropsten) to address 0x9BeC1ABc21e7C60FfAacA5bAD561234C0f90c90A and you will get your tokens. Test ether you can get on site http://faucet.ropsten.be:3001/ or write me your address. Do not forget to add token to watching list.\n\n# Conclusion\n\nThis is simple example of the ICO contract, but you can find more examples at https://github.com/OpenZeppelin/zeppelin-solidity/tree/master/contracts\n\nHappy ICO!!!",
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}2017/07/14 14:10:03
2017/07/14 14:10:03
| voter | jagg |
| author | ferumflex |
| permlink | re-wekkel-re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t055438874z |
| weight | 10000 (100.00%) |
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2017/07/14 14:10:00
| voter | jagg |
| author | ferumflex |
| permlink | re-funkit-re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t053557591z |
| weight | 10000 (100.00%) |
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}2017/07/14 14:08:27
2017/07/14 14:08:27
| voter | jagg |
| author | ferumflex |
| permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| weight | 10000 (100.00%) |
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}2017/07/14 11:45:48
2017/07/14 11:45:48
| parent author | ferumflex |
| parent permlink | re-larksongbird-re-ferumflex-hi-steemers-20170714t103604038z |
| author | larksongbird |
| permlink | re-ferumflex-re-larksongbird-re-ferumflex-hi-steemers-20170714t114545569z |
| title | |
| body | Nice town! Amazing buildings |
| json metadata | {"tags":["introduceyourself"],"app":"steemit/0.1"} |
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}2017/07/14 10:36:03
2017/07/14 10:36:03
| parent author | larksongbird |
| parent permlink | re-ferumflex-hi-steemers-20170714t091629955z |
| author | ferumflex |
| permlink | re-larksongbird-re-ferumflex-hi-steemers-20170714t103604038z |
| title | |
| body | In Lviv |
| json metadata | {"tags":["introduceyourself"],"app":"steemit/0.1"} |
| Transaction Info | Block #13673467/Trx 7180a1a2ef2fa6694f109b395766e918a924d8cb |
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}2017/07/14 09:16:33
2017/07/14 09:16:33
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | larksongbird |
| permlink | re-ferumflex-hi-steemers-20170714t091629955z |
| title | |
| body | Welcome to Steemit Anton! Where in Ukraine do you live? |
| json metadata | {"tags":["introduceyourself"],"app":"steemit/0.1"} |
| Transaction Info | Block #13671882/Trx 7fcf10fb1ea735f593b34c1d7de8886ba624b0ea |
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"body": "Welcome to Steemit Anton! Where in Ukraine do you live?",
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}2017/07/14 06:19:27
2017/07/14 06:19:27
| voter | steemitboard |
| author | ferumflex |
| permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| weight | 100 (1.00%) |
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}2017/07/14 06:19:24
2017/07/14 06:19:24
| parent author | ferumflex |
| parent permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| author | steemitboard |
| permlink | steemitboard-notify-ferumflex-20170714t061926000z |
| title | |
| body | Congratulations @ferumflex! You have completed some achievement on Steemit and have been rewarded with new badge(s) : [](http://steemitboard.com/@ferumflex) Award for the number of upvotes received [](http://steemitboard.com/@ferumflex) You made your First Comment Click on any badge to view your own Board of Honor on SteemitBoard. For more information about SteemitBoard, click [here](https://steemit.com/@steemitboard) If you no longer want to receive notifications, reply to this comment with the word `STOP` > By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)! |
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"permlink": "steemitboard-notify-ferumflex-20170714t061926000z",
"title": "",
"body": "Congratulations @ferumflex! You have completed some achievement on Steemit and have been rewarded with new badge(s) :\n\n[](http://steemitboard.com/@ferumflex) Award for the number of upvotes received\n[](http://steemitboard.com/@ferumflex) You made your First Comment\n\nClick on any badge to view your own Board of Honor on SteemitBoard.\nFor more information about SteemitBoard, click [here](https://steemit.com/@steemitboard)\n\nIf you no longer want to receive notifications, reply to this comment with the word `STOP`\n\n> By upvoting this notification, you can help all Steemit users. Learn how [here](https://steemit.com/steemitboard/@steemitboard/http-i-cubeupload-com-7ciqeo-png)!",
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}2017/07/14 05:54:39
2017/07/14 05:54:39
| parent author | wekkel |
| parent permlink | re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t055123082z |
| author | ferumflex |
| permlink | re-wekkel-re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t055438874z |
| title | |
| body | Thank you, Right now I am actively develop it, if you have some ideas please let me know. |
| json metadata | {"tags":["cryptocurrency"],"app":"steemit/0.1"} |
| Transaction Info | Block #13667855/Trx 85fe76b46b93b9086217504e6d9883ce51d867a2 |
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"permlink": "re-wekkel-re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t055438874z",
"title": "",
"body": "Thank you, Right now I am actively develop it, if you have some ideas please let me know.",
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}2017/07/14 05:51:24
2017/07/14 05:51:24
| parent author | ferumflex |
| parent permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| author | wekkel |
| permlink | re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t055123082z |
| title | |
| body | Telegram is on a roll lately with brilliant guys developing these nice bots. Keep up the good work. Perhaps this can morph into a Telegram multiwallet over time. |
| json metadata | {"tags":["cryptocurrency"],"app":"steemit/0.1"} |
| Transaction Info | Block #13667790/Trx 654108e5add3e0c9c31634c5ac2ba8ff449e33ef |
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"permlink": "re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t055123082z",
"title": "",
"body": "Telegram is on a roll lately with brilliant guys developing these nice bots. Keep up the good work. Perhaps this can morph into a Telegram multiwallet over time.",
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}2017/07/14 05:49:12
2017/07/14 05:49:12
| voter | wekkel |
| author | ferumflex |
| permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| weight | 10000 (100.00%) |
| Transaction Info | Block #13667746/Trx 44cd0c971fd6696bc9f507bd91fec2cba7bfffee |
View Raw JSON Data
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}2017/07/14 05:35:57
2017/07/14 05:35:57
| parent author | funkit |
| parent permlink | re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t053129891z |
| author | ferumflex |
| permlink | re-funkit-re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t053557591z |
| title | |
| body | Do not worry) My wallets also in this list) |
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"permlink": "re-funkit-re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t053557591z",
"title": "",
"body": "Do not worry) My wallets also in this list)",
"json_metadata": "{\"tags\":[\"cryptocurrency\"],\"app\":\"steemit/0.1\"}"
}
]
}2017/07/14 05:31:30
2017/07/14 05:31:30
| parent author | ferumflex |
| parent permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| author | funkit |
| permlink | re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t053129891z |
| title | |
| body | Agh! Don't let the tax man know! |
| json metadata | {"tags":["cryptocurrency"],"app":"steemit/0.1"} |
| Transaction Info | Block #13667395/Trx 0e31ab7c13763488be51ad8e23ca894403b263e6 |
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"title": "",
"body": "Agh! Don't let the tax man know!",
"json_metadata": "{\"tags\":[\"cryptocurrency\"],\"app\":\"steemit/0.1\"}"
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}2017/07/14 05:27:48
2017/07/14 05:27:48
| parent author | ferumflex |
| parent permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| author | joeyarnoldvn |
| permlink | re-ferumflex-bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies-20170714t052747778z |
| title | |
| body | wow |
| json metadata | {"tags":["cryptocurrency"],"app":"steemit/0.1"} |
| Transaction Info | Block #13667321/Trx 2eb4d85bb57b33a441a3d8e37d81d411ba05a864 |
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"title": "",
"body": "wow",
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}ferumflexpublished a new post: bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies2017/07/14 05:27:09
ferumflexpublished a new post: bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies
2017/07/14 05:27:09
| parent author | |
| parent permlink | cryptocurrency |
| author | ferumflex |
| permlink | bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies |
| title | Bitcoin savings - telegram bot that show your savings in cryptocurrencies |
| body | Hello fellas! https://steemitimages.com/DQmZyMG9ci3yaovoVQpYcZj9upzKfgdcWmjizuV26i5HSgF/wallet.png Recently I wrote bot, that shows your capitalizations in USD for your crypto wallets. Bot also counts tokens for Waves and Etheretum wallets, builds graphs, show history of changing your capitalization. You need to enter just your wallet address. I wrote it for myself, because it is hard to track my crypto portfolio. Also I personally find very useful when bot sends me notification about changes in my balance. This is awesome feature. Link to the bot - https://telegram.me/bitcoin_savings_bot or @bitcoin_savings_bot Supported currencies: BTC, ETH, ETC, Waves, XRP, NEM, XLM, LTC, Stratis, BTS, ANS, LSK. Supported tokens (wallets eth, waves): GNT, REP, Pluton, Gnosis, MKR, BAT, SNGLS, DGD, ICONOMI, Aragon, FirstBlood, RLC, Wings, Melon, trust, SWT, GUP, Xaurum, Edgeless, Bcap, TokenCard, Taas, TIME, vSlice, Lunyr, Bancor, Storj, WCT, bankcoin, INCNT, RBX, MER, TKS, wavesgo, MGO, BTC, MRT Languages: English \ Русcкий \ Українська Main functions: - Shows your savings in USD across all wallets - Shows beautiful graphs - Sends your notifications when your balance changes - Supports mange currencies and tokens Donations: BTC 1J2ZSc97yzrGihULVMPCtEZs7zUDD6j7v ETH 0x86735BCB1990CE2E2C264F850732255a7D9dEC21 Your testimonials\advices\critics you can send there or in the bot. Happy investing in crypto world!!! |
| json metadata | {"tags":["cryptocurrency","bitcoin","ethereum","blockchain"],"users":["bitcoin"],"image":["https://steemitimages.com/DQmZyMG9ci3yaovoVQpYcZj9upzKfgdcWmjizuV26i5HSgF/wallet.png"],"links":["https://telegram.me/bitcoin_savings_bot"],"app":"steemit/0.1","format":"markdown"} |
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"permlink": "bitcoin-savings-telegram-bot-that-show-your-savings-in-cryptocurrencies",
"title": "Bitcoin savings - telegram bot that show your savings in cryptocurrencies",
"body": "Hello fellas!\n\nhttps://steemitimages.com/DQmZyMG9ci3yaovoVQpYcZj9upzKfgdcWmjizuV26i5HSgF/wallet.png\n\nRecently I wrote bot, that shows your capitalizations in USD for your crypto wallets. Bot also counts tokens for Waves and Etheretum wallets, builds graphs, show history of changing your capitalization. You need to enter just your wallet address.\n\nI wrote it for myself, because it is hard to track my crypto portfolio. Also I personally find very useful when bot sends me notification about changes in my balance. This is awesome feature.\n\nLink to the bot - https://telegram.me/bitcoin_savings_bot\nor @bitcoin_savings_bot\n\nSupported currencies: BTC, ETH, ETC, Waves, XRP, NEM, XLM, LTC, Stratis, BTS, ANS, LSK.\n\nSupported tokens (wallets eth, waves): GNT, REP, Pluton, Gnosis, MKR, BAT, SNGLS, DGD, ICONOMI, Aragon, FirstBlood, RLC, Wings, Melon, trust, SWT, GUP, Xaurum, Edgeless, Bcap, TokenCard, Taas, TIME, vSlice, Lunyr, Bancor, Storj, WCT, bankcoin, INCNT, RBX, MER, TKS, wavesgo, MGO, BTC, MRT\n\nLanguages: English \\ Русcкий \\ Українська\n\nMain functions:\n\n- Shows your savings in USD across all wallets\n- Shows beautiful graphs\n- Sends your notifications when your balance changes\n- Supports mange currencies and tokens\n\nDonations:\nBTC 1J2ZSc97yzrGihULVMPCtEZs7zUDD6j7v\nETH 0x86735BCB1990CE2E2C264F850732255a7D9dEC21\n\nYour testimonials\\advices\\critics you can send there or in the bot.\n\nHappy investing in crypto world!!!",
"json_metadata": "{\"tags\":[\"cryptocurrency\",\"bitcoin\",\"ethereum\",\"blockchain\"],\"users\":[\"bitcoin\"],\"image\":[\"https://steemitimages.com/DQmZyMG9ci3yaovoVQpYcZj9upzKfgdcWmjizuV26i5HSgF/wallet.png\"],\"links\":[\"https://telegram.me/bitcoin_savings_bot\"],\"app\":\"steemit/0.1\",\"format\":\"markdown\"}"
}
]
}2017/07/14 04:05:09
2017/07/14 04:05:09
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | leesujae17 |
| permlink | re-ferumflex-hi-steemers-20170714t040508055z |
| title | |
| body | hello~ ferumflex, Follow & Upvote is a You and I great strength~ |
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"body": "hello~ ferumflex, Follow & Upvote is a You and I great strength~",
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}digitalplayerreplied to @ferumflex / 20170713t222157559z2017/07/13 22:22:45
digitalplayerreplied to @ferumflex / 20170713t222157559z
2017/07/13 22:22:45
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | digitalplayer |
| permlink | 20170713t222157559z |
| title | |
| body | Welcome and Thank You for being with us!! Following your Blog now |
| json metadata | {"tags":["welcome"],"app":"digitalplayer"} |
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}2017/07/13 22:22:06
2017/07/13 22:22:06
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | kccrypto |
| permlink | re-ferumflex-hi-steemers-20170713t222207896z |
| title | |
| body | Welcome to steemit, Anton! I think you are in the perfect community for your work to be shared. Obviously, most people here love cryptocurrency and anything related to it. So sharing your knowledge of smart contracts among other things will probably be a hit! Best of luck to you! |
| json metadata | {"tags":["introduceyourself"],"app":"steemit/0.1"} |
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"title": "",
"body": "Welcome to steemit, Anton! \n\nI think you are in the perfect community for your work to be shared. Obviously, most people here love cryptocurrency and anything related to it. So sharing your knowledge of smart contracts among other things will probably be a hit!\n\nBest of luck to you!",
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}kccryptoupvoted (10.00%) @ferumflex / hi-steemers2017/07/13 22:21:09
kccryptoupvoted (10.00%) @ferumflex / hi-steemers
2017/07/13 22:21:09
| voter | kccrypto |
| author | ferumflex |
| permlink | hi-steemers |
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}inukupvoted (1.00%) @ferumflex / hi-steemers2017/07/13 21:50:54
inukupvoted (1.00%) @ferumflex / hi-steemers
2017/07/13 21:50:54
| voter | inuk |
| author | ferumflex |
| permlink | hi-steemers |
| weight | 100 (1.00%) |
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}jordanlindseysent 0.001 SBD to @ferumflex- "Welcome :) have fun & enjoy some Steemit humor, https://steemit.com/steemit/@jordanlindsey/steemit-reward-pool-being-distributed-on-blockchain-video-fun"2017/07/13 21:42:36
jordanlindseysent 0.001 SBD to @ferumflex- "Welcome :) have fun & enjoy some Steemit humor, https://steemit.com/steemit/@jordanlindsey/steemit-reward-pool-being-distributed-on-blockchain-video-fun"
2017/07/13 21:42:36
| from | jordanlindsey |
| to | ferumflex |
| amount | 0.001 SBD |
| memo | Welcome :) have fun & enjoy some Steemit humor, https://steemit.com/steemit/@jordanlindsey/steemit-reward-pool-being-distributed-on-blockchain-video-fun |
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}2017/07/13 21:42:03
2017/07/13 21:42:03
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | daveks |
| permlink | re-ferumflex-hi-steemers-20170713t214203295z |
| title | |
| body | Welcome to Steemit! |
| json metadata | {"tags":["introduceyourself"],"app":"steemit/0.1"} |
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}daveksupvoted (1.00%) @ferumflex / hi-steemers2017/07/13 21:41:42
daveksupvoted (1.00%) @ferumflex / hi-steemers
2017/07/13 21:41:42
| voter | daveks |
| author | ferumflex |
| permlink | hi-steemers |
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}2017/07/13 21:39:06
2017/07/13 21:39:06
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | tinashe |
| permlink | re-ferumflex-hi-steemers-20170713t213843762z |
| title | |
| body | ###### ***© copyright - all rights reserved by @tinashe*** <center> Welcome to this incredible platform, hope everything will work out for you. Being here it’s not easy but not difficult neither only an extra effort will go a long way, engagement is the key good luck I’m @tinashe Start by Following ,Upvoting &Resteeming people and they will do the same. </center> <center>QUICK TIPS FOR NEWBIES 👉 [CLICK HERE]( https://steemit.com/newbie/@tinashe/3tnac7-repost-quick-tips-make-your-posts-better-than-they-already-are)</center> <center>*Thank you*</center> <center><a href="https://steemit.com/@tinashe"><img src="https://s6.postimg.org/ntve9iqo1/tinashe.gif"/></a></center> <center>CLICK👆 HERE</center> |
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}2017/07/13 21:25:24
2017/07/13 21:25:24
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | protzel |
| permlink | re-ferumflex-hi-steemers-20170713t212519717z |
| title | |
| body | Welcome... you look like theon greyjoy xD |
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}edjeupvoted (100.00%) @ferumflex / hi-steemers2017/07/13 21:21:33
edjeupvoted (100.00%) @ferumflex / hi-steemers
2017/07/13 21:21:33
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}joeleupvoted (2.00%) @ferumflex / hi-steemers2017/07/13 21:12:24
joeleupvoted (2.00%) @ferumflex / hi-steemers
2017/07/13 21:12:24
| voter | joele |
| author | ferumflex |
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}2017/07/13 21:04:39
2017/07/13 21:04:39
| parent author | ferumflex |
| parent permlink | hi-steemers |
| author | thomasmmaker |
| permlink | re-ferumflex-hi-steemers-20170713t210438945z |
| title | |
| body | Welcome to Steemit friend! Neural network looks something difficult and interesting! Hahah! Hope you enjoy the community here! Followed! :D |
| json metadata | {"tags":["introduceyourself"],"app":"steemit/0.1"} |
| Transaction Info | Block #13657275/Trx 5ec6d8d244c8372bfbd27d406738b405f1c42c0e |
View Raw JSON Data
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