mirror of
https://github.com/immich-app/immich.git
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Refactor Python Modules (#29)
This commit is contained in:
Alex
GitHub
parent
c894e36855
commit
f181dba964
11 changed files with 67 additions and 680 deletions
5
machine_learning/.gitignore
vendored
5
machine_learning/.gitignore
vendored
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@ -1,2 +1,3 @@
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app/__pycache__
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/devenv
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__pycache__/
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devenv/
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app/upload
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@ -1,17 +0,0 @@
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[[source]]
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url = "https://pypi.python.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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fastapi = "<0.69.0,>=0.68.0"
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pydantic = "<2.0.0,>=1.8.0"
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uvicorn = "<0.16.0,>=0.15.0"
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tensorflow = "~=2.8.0"
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numpy = "==1.22.2"
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pillow = "==9.0.1"
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[dev-packages]
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[requires]
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python_version = "3.8"
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629
machine_learning/Pipfile.lock
generated
629
machine_learning/Pipfile.lock
generated
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@ -1,629 +0,0 @@
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{
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"_meta": {
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"hash": {
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"sha256": "3acf9bcf1b74370cbdac742fee64295572085d1c0d3e4ba38b0fc3ae2c7d846a"
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},
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"pipfile-spec": 6,
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"requires": {
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"python_version": "3.8"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.python.org/simple",
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"verify_ssl": true
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}
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]
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},
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"default": {
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"absl-py": {
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"hashes": [
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"sha256:84e6dcdc69c947d0c13e5457d056bd43cade4c2393dce00d684aedea77ddc2a3",
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"sha256:ac511215c01ee9ae47b19716599e8ccfa746f2e18de72bdf641b79b22afa27ea"
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],
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"version": "==1.0.0"
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},
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"asgiref": {
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"hashes": [
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"sha256:2f8abc20f7248433085eda803936d98992f1343ddb022065779f37c5da0181d0",
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"sha256:88d59c13d634dcffe0510be048210188edd79aeccb6a6c9028cdad6f31d730a9"
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],
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"version": "==3.5.0"
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},
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"astunparse": {
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"hashes": [
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"sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872",
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"sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"
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],
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"version": "==1.6.3"
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},
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"cachetools": {
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"hashes": [
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"sha256:486471dfa8799eb7ec503a8059e263db000cdda20075ce5e48903087f79d5fd6",
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"sha256:8fecd4203a38af17928be7b90689d8083603073622229ca7077b72d8e5a976e4"
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],
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"version": "==5.0.0"
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},
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"certifi": {
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"hashes": [
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"sha256:78884e7c1d4b00ce3cea67b44566851c4343c120abd683433ce934a68ea58872",
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"sha256:d62a0163eb4c2344ac042ab2bdf75399a71a2d8c7d47eac2e2ee91b9d6339569"
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],
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"version": "==2021.10.8"
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},
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"charset-normalizer": {
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"hashes": [
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"sha256:2857e29ff0d34db842cd7ca3230549d1a697f96ee6d3fb071cfa6c7393832597",
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"sha256:6881edbebdb17b39b4eaaa821b438bf6eddffb4468cf344f09f89def34a8b1df"
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],
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"markers": "python_version >= '3'",
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"version": "==2.0.12"
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},
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"click": {
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"hashes": [
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"sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3",
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"sha256:410e932b050f5eed773c4cda94de75971c89cdb3155a72a0831139a79e5ecb5b"
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],
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"version": "==8.0.3"
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},
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"fastapi": {
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"hashes": [
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"sha256:36bcdd3dbea87c586061005e4a40b9bd0145afd766655b4e0ec1d8870b32555c",
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"sha256:38526fc46bda73f7ec92033952677323c16061e70a91d15c95f18b11895da494"
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],
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"index": "pypi",
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"version": "==0.68.2"
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},
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"flatbuffers": {
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"hashes": [
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"sha256:12158ab0272375eab8db2d663ae97370c33f152b27801fa6024e1d6105fd4dd2",
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"sha256:3751954f0604580d3219ae49a85fafec9d85eec599c0b96226e1bc0b48e57474"
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],
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"version": "==2.0"
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},
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"gast": {
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"hashes": [
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"sha256:211aac1e58c167b25d3504998f2db694454a24bb1fb1225bce99420166f21d6a",
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"sha256:cfbea25820e653af9c7d1807f659ce0a0a9c64f2439421a7bba4f0983f532dea"
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],
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"version": "==0.5.3"
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},
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"google-auth": {
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"hashes": [
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"sha256:218ca03d7744ca0c8b6697b6083334be7df49b7bf76a69d555962fd1a7657b5f",
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"sha256:ad160fc1ea8f19e331a16a14a79f3d643d813a69534ba9611d2c80dc10439dad"
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],
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"version": "==2.6.0"
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},
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"google-auth-oauthlib": {
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"hashes": [
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"sha256:3f2a6e802eebbb6fb736a370fbf3b055edcb6b52878bf2f26330b5e041316c73",
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"sha256:a90a072f6993f2c327067bf65270046384cda5a8ecb20b94ea9a687f1f233a7a"
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],
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"version": "==0.4.6"
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},
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"google-pasta": {
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"hashes": [
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"sha256:4612951da876b1a10fe3960d7226f0c7682cf901e16ac06e473b267a5afa8954",
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"sha256:b32482794a366b5366a32c92a9a9201b107821889935a02b3e51f6b432ea84ed",
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"sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"
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],
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"version": "==0.2.0"
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},
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"grpcio": {
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"hashes": [
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"sha256:0110310eff07bb69782f53b7a947490268c4645de559034c43c0a635612e250f",
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"sha256:01f4b887ed703fe82ebe613e1d2dadea517891725e17e7a6134dcd00352bd28c",
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"sha256:04239e8f71db832c26bbbedb4537b37550a39d77681d748ab4678e58dd6455d6",
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"sha256:08cf25f2936629db062aeddbb594bd76b3383ab0ede75ef0461a3b0bc3a2c150",
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"sha256:0aa8285f284338eb68962fe1a830291db06f366ea12f213399b520c062b01f65",
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"sha256:0e731f660e1e68238f56f4ce11156f02fd06dc58bc7834778d42c0081d4ef5ad",
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"sha256:0edbfeb6729aa9da33ce7e28fb7703b3754934115454ae45e8cc1db601756fd3",
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"sha256:124e718faf96fe44c98b05f3f475076be8b5198bb4c52a13208acf88a8548ba9",
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||||
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|
||||
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|
||||
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|
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|
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|
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"sha256:c354017819201053d65212befd1dcb65c2d91b704d8977e696bae79c47cd2f82",
|
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"sha256:c36f418c925a41fccada8f7ae9a3d3e227bfa837ddbfddd3d8b0ac252d12dda9",
|
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"sha256:cbc9b83211d905859dcf234ad39d7193ff0f05bfc3269c364fb0d114ee71de59",
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"sha256:fdac966699707b5554b815acc272d81e619dd0999f187cd52a61aef075f870ee"
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],
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"version": "==1.43.0"
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},
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"h11": {
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"hashes": [
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"sha256:70813c1135087a248a4d38cc0e1a0181ffab2188141a93eaf567940c3957ff06",
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"sha256:8ddd78563b633ca55346c8cd41ec0af27d3c79931828beffb46ce70a379e7442"
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],
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"version": "==0.13.0"
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},
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"h5py": {
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"hashes": [
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"sha256:1c5acc660c458421e88c4c5fe092ce15923adfac4c732af1ac4fced683a5ea97",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"sha256:a5320837c60870911645e9a935099bdb2be6a786fcf0dac5c860f3b679e2de55",
|
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|
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|
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|
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],
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"version": "==3.6.0"
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},
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"idna": {
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"hashes": [
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"sha256:84d9dd047ffa80596e0f246e2eab0b391788b0503584e8945f2368256d2735ff",
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"sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"
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],
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"markers": "python_version >= '3'",
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"version": "==3.3"
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},
|
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"importlib-metadata": {
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"hashes": [
|
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"sha256:175f4ee440a0317f6e8d81b7f8d4869f93316170a65ad2b007d2929186c8052c",
|
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"sha256:e0bc84ff355328a4adfc5240c4f211e0ab386f80aa640d1b11f0618a1d282094"
|
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],
|
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"markers": "python_version < '3.10'",
|
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"version": "==4.11.1"
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},
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"keras": {
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"hashes": [
|
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"sha256:744d39dc6577dcd80ff4a4d41549e92b77d6a17e0edd58a431d30656e29bc94e"
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],
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"version": "==2.8.0"
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},
|
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"keras-preprocessing": {
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"hashes": [
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"sha256:7b82029b130ff61cc99b55f3bd27427df4838576838c5b2f65940e4fcec99a7b",
|
||||
"sha256:add82567c50c8bc648c14195bf544a5ce7c1f76761536956c3d2978970179ef3"
|
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],
|
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"version": "==1.1.2"
|
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},
|
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"libclang": {
|
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"hashes": [
|
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"sha256:069407eac2e20ea8f18212d28c6598db31014e7b8a77febc92e762ec133c3226",
|
||||
"sha256:9c1e623340ccafe3a10a2abbc90f59593ff29f0c854f4ddb65b6220d9d998fb4",
|
||||
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|
||||
"sha256:b7de34393ed46c6cf7b22178d0d43cec2f2dab2f5f95450520a47fc1cf2df5ac",
|
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"sha256:bcaffec6b1ab9486811670db7af29d4a361830d6cb75da4f5672e884aa973bda",
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"sha256:dcc7ecd83d91e23e95315d7aa6355ee8d45b43742ca1fb642583e0b2f935d50e"
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],
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"version": "==13.0.0"
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},
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"markdown": {
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"hashes": [
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"sha256:76df8ae32294ec39dcf89340382882dfa12975f87f45c3ed1ecdb1e8cefc7006",
|
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"sha256:9923332318f843411e9932237530df53162e29dc7a4e2b91e35764583c46c9a3"
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],
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"version": "==3.3.6"
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},
|
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"numpy": {
|
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"hashes": [
|
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"sha256:03ae5850619abb34a879d5f2d4bb4dcd025d6d8fb72f5e461dae84edccfe129f",
|
||||
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|
||||
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|
||||
"sha256:15efb7b93806d438e3bc590ca8ef2f953b0ce4f86f337ef4559d31ec6cf9d7dd",
|
||||
"sha256:168259b1b184aa83a514f307352c25c56af111c269ffc109d9704e81f72e764b",
|
||||
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||||
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|
||||
],
|
||||
"version": "==1.3.1"
|
||||
},
|
||||
"rsa": {
|
||||
"hashes": [
|
||||
"sha256:5c6bd9dc7a543b7fe4304a631f8a8a3b674e2bbfc49c2ae96200cdbe55df6b17",
|
||||
"sha256:95c5d300c4e879ee69708c428ba566c59478fd653cc3a22243eeb8ed846950bb"
|
||||
],
|
||||
"markers": "python_version >= '3.6'",
|
||||
"version": "==4.8"
|
||||
},
|
||||
"six": {
|
||||
"hashes": [
|
||||
"sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
|
||||
"sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
|
||||
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|
||||
"version": "==1.16.0"
|
||||
},
|
||||
"starlette": {
|
||||
"hashes": [
|
||||
"sha256:3c8e48e52736b3161e34c9f0e8153b4f32ec5d8995a3ee1d59410d92f75162ed",
|
||||
"sha256:7d49f4a27f8742262ef1470608c59ddbc66baf37c148e938c7038e6bc7a998aa"
|
||||
],
|
||||
"version": "==0.14.2"
|
||||
},
|
||||
"tensorboard": {
|
||||
"hashes": [
|
||||
"sha256:65a338e4424e9079f2604923bdbe301792adce2ace1be68da6b3ddf005170def"
|
||||
],
|
||||
"version": "==2.8.0"
|
||||
},
|
||||
"tensorboard-data-server": {
|
||||
"hashes": [
|
||||
"sha256:809fe9887682d35c1f7d1f54f0f40f98bb1f771b14265b453ca051e2ce58fca7",
|
||||
"sha256:d8237580755e58eff68d1f3abefb5b1e39ae5c8b127cc40920f9c4fb33f4b98a",
|
||||
"sha256:fa8cef9be4fcae2f2363c88176638baf2da19c5ec90addb49b1cde05c95c88ee"
|
||||
],
|
||||
"version": "==0.6.1"
|
||||
},
|
||||
"tensorboard-plugin-wit": {
|
||||
"hashes": [
|
||||
"sha256:ff26bdd583d155aa951ee3b152b3d0cffae8005dc697f72b44a8e8c2a77a8cbe"
|
||||
],
|
||||
"version": "==1.8.1"
|
||||
},
|
||||
"tensorflow": {
|
||||
"hashes": [
|
||||
"sha256:05fb161c6b2a6c4b8317a703a0a6d7f7aa6b5e3c6ea31bbc4f44ef96b89c3344",
|
||||
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|
||||
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|
||||
"sha256:52f225fecc688281b3ae2cba2b52d3ed6215ed4a3ffb686b9cfd09885ca65563",
|
||||
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|
||||
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|
||||
"sha256:9d91a989e5455ae713c03fd7236071ab3f232ad8ff2831f2658072933546091f",
|
||||
"sha256:b360c13b3e58b9a5c0780cbdb6b549eea73f620275fa203f8508fe418ae02735",
|
||||
"sha256:b7170844ae6b048d82a9d7a61b2fa627f2e16cb829267bf0ce4b3a0de0a61054",
|
||||
"sha256:da38d4043185267e7316ae5dc98d18e89c8af4170859f64798e7a3607fd606e3",
|
||||
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|
||||
"sha256:fa4a723368d5f748b6f4ec305cf7c26b98e4a6a8c2ce1425f8ae10383a37bcfc"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==2.8.0"
|
||||
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|
||||
"tensorflow-io-gcs-filesystem": {
|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
"sha256:825f396388748038ad38c35b091311982081f93a5db8ca9763fc874c3f555e6c",
|
||||
"sha256:9c00f9a9880477b1dff0c71ee6734421ce99ac484ca2151793ebf2681fc0cb4c",
|
||||
"sha256:aa90b9a34ea8da4dbd534f77746d67375714db869524da889193c3042352679a",
|
||||
"sha256:b6ca3a9f751aa9c2f9851520e666d905ad14667281bbafeabe611b7b8f3e1bc5",
|
||||
"sha256:cbc71b3925508bf796644a0083a6f9284f71404654f53092bece701383a69520",
|
||||
"sha256:cc093f160f79526d31f6070a3ddc000868d737a36ccf40984128661563383601",
|
||||
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|
||||
"sha256:d1eb5e9be62040c5a249ae8adaae7e61f65b59541139e4d6767157f25a224bf5"
|
||||
],
|
||||
"version": "==0.24.0"
|
||||
},
|
||||
"termcolor": {
|
||||
"hashes": [
|
||||
"sha256:1d6d69ce66211143803fbc56652b41d73b4a400a2891d7bf7a1cdf4c02de613b"
|
||||
],
|
||||
"version": "==1.1.0"
|
||||
},
|
||||
"tf-estimator-nightly": {
|
||||
"hashes": [
|
||||
"sha256:0065a04e396b2890bd19761fc1de7559ceafeba12839f8db2c7e7473afaaf612"
|
||||
],
|
||||
"version": "==2.8.0.dev2021122109"
|
||||
},
|
||||
"typing-extensions": {
|
||||
"hashes": [
|
||||
"sha256:1a9462dcc3347a79b1f1c0271fbe79e844580bb598bafa1ed208b94da3cdcd42",
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||||
"sha256:21c85e0fe4b9a155d0799430b0ad741cdce7e359660ccbd8b530613e8df88ce2"
|
||||
],
|
||||
"version": "==4.1.1"
|
||||
},
|
||||
"urllib3": {
|
||||
"hashes": [
|
||||
"sha256:000ca7f471a233c2251c6c7023ee85305721bfdf18621ebff4fd17a8653427ed",
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||||
"sha256:0e7c33d9a63e7ddfcb86780aac87befc2fbddf46c58dbb487e0855f7ceec283c"
|
||||
],
|
||||
"version": "==1.26.8"
|
||||
},
|
||||
"uvicorn": {
|
||||
"hashes": [
|
||||
"sha256:17f898c64c71a2640514d4089da2689e5db1ce5d4086c2d53699bf99513421c1",
|
||||
"sha256:d9a3c0dd1ca86728d3e235182683b4cf94cd53a867c288eaeca80ee781b2caff"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==0.15.0"
|
||||
},
|
||||
"werkzeug": {
|
||||
"hashes": [
|
||||
"sha256:1421ebfc7648a39a5c58c601b154165d05cf47a3cd0ccb70857cbdacf6c8f2b8",
|
||||
"sha256:b863f8ff057c522164b6067c9e28b041161b4be5ba4d0daceeaa50a163822d3c"
|
||||
],
|
||||
"version": "==2.0.3"
|
||||
},
|
||||
"wheel": {
|
||||
"hashes": [
|
||||
"sha256:4bdcd7d840138086126cd09254dc6195fb4fc6f01c050a1d7236f2630db1d22a",
|
||||
"sha256:e9a504e793efbca1b8e0e9cb979a249cf4a0a7b5b8c9e8b65a5e39d49529c1c4"
|
||||
],
|
||||
"version": "==0.37.1"
|
||||
},
|
||||
"wrapt": {
|
||||
"hashes": [
|
||||
"sha256:086218a72ec7d986a3eddb7707c8c4526d677c7b35e355875a0fe2918b059179",
|
||||
"sha256:0877fe981fd76b183711d767500e6b3111378ed2043c145e21816ee589d91096",
|
||||
"sha256:0a017a667d1f7411816e4bf214646d0ad5b1da2c1ea13dec6c162736ff25a374",
|
||||
"sha256:0cb23d36ed03bf46b894cfec777eec754146d68429c30431c99ef28482b5c1df",
|
||||
"sha256:1fea9cd438686e6682271d36f3481a9f3636195578bab9ca3382e2f5f01fc185",
|
||||
"sha256:220a869982ea9023e163ba915077816ca439489de6d2c09089b219f4e11b6785",
|
||||
"sha256:25b1b1d5df495d82be1c9d2fad408f7ce5ca8a38085e2da41bb63c914baadff7",
|
||||
"sha256:2dded5496e8f1592ec27079b28b6ad2a1ef0b9296d270f77b8e4a3a796cf6909",
|
||||
"sha256:2ebdde19cd3c8cdf8df3fc165bc7827334bc4e353465048b36f7deeae8ee0918",
|
||||
"sha256:43e69ffe47e3609a6aec0fe723001c60c65305784d964f5007d5b4fb1bc6bf33",
|
||||
"sha256:46f7f3af321a573fc0c3586612db4decb7eb37172af1bc6173d81f5b66c2e068",
|
||||
"sha256:47f0a183743e7f71f29e4e21574ad3fa95676136f45b91afcf83f6a050914829",
|
||||
"sha256:498e6217523111d07cd67e87a791f5e9ee769f9241fcf8a379696e25806965af",
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||||
"sha256:4b9c458732450ec42578b5642ac53e312092acf8c0bfce140ada5ca1ac556f79",
|
||||
"sha256:51799ca950cfee9396a87f4a1240622ac38973b6df5ef7a41e7f0b98797099ce",
|
||||
"sha256:5601f44a0f38fed36cc07db004f0eedeaadbdcec90e4e90509480e7e6060a5bc",
|
||||
"sha256:5f223101f21cfd41deec8ce3889dc59f88a59b409db028c469c9b20cfeefbe36",
|
||||
"sha256:610f5f83dd1e0ad40254c306f4764fcdc846641f120c3cf424ff57a19d5f7ade",
|
||||
"sha256:6a03d9917aee887690aa3f1747ce634e610f6db6f6b332b35c2dd89412912bca",
|
||||
"sha256:705e2af1f7be4707e49ced9153f8d72131090e52be9278b5dbb1498c749a1e32",
|
||||
"sha256:766b32c762e07e26f50d8a3468e3b4228b3736c805018e4b0ec8cc01ecd88125",
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||||
"sha256:77416e6b17926d953b5c666a3cb718d5945df63ecf922af0ee576206d7033b5e",
|
||||
"sha256:778fd096ee96890c10ce96187c76b3e99b2da44e08c9e24d5652f356873f6709",
|
||||
"sha256:78dea98c81915bbf510eb6a3c9c24915e4660302937b9ae05a0947164248020f",
|
||||
"sha256:7dd215e4e8514004c8d810a73e342c536547038fb130205ec4bba9f5de35d45b",
|
||||
"sha256:7dde79d007cd6dfa65afe404766057c2409316135cb892be4b1c768e3f3a11cb",
|
||||
"sha256:81bd7c90d28a4b2e1df135bfbd7c23aee3050078ca6441bead44c42483f9ebfb",
|
||||
"sha256:85148f4225287b6a0665eef08a178c15097366d46b210574a658c1ff5b377489",
|
||||
"sha256:865c0b50003616f05858b22174c40ffc27a38e67359fa1495605f96125f76640",
|
||||
"sha256:87883690cae293541e08ba2da22cacaae0a092e0ed56bbba8d018cc486fbafbb",
|
||||
"sha256:8aab36778fa9bba1a8f06a4919556f9f8c7b33102bd71b3ab307bb3fecb21851",
|
||||
"sha256:8c73c1a2ec7c98d7eaded149f6d225a692caa1bd7b2401a14125446e9e90410d",
|
||||
"sha256:936503cb0a6ed28dbfa87e8fcd0a56458822144e9d11a49ccee6d9a8adb2ac44",
|
||||
"sha256:944b180f61f5e36c0634d3202ba8509b986b5fbaf57db3e94df11abee244ba13",
|
||||
"sha256:96b81ae75591a795d8c90edc0bfaab44d3d41ffc1aae4d994c5aa21d9b8e19a2",
|
||||
"sha256:981da26722bebb9247a0601e2922cedf8bb7a600e89c852d063313102de6f2cb",
|
||||
"sha256:ae9de71eb60940e58207f8e71fe113c639da42adb02fb2bcbcaccc1ccecd092b",
|
||||
"sha256:b73d4b78807bd299b38e4598b8e7bd34ed55d480160d2e7fdaabd9931afa65f9",
|
||||
"sha256:d4a5f6146cfa5c7ba0134249665acd322a70d1ea61732723c7d3e8cc0fa80755",
|
||||
"sha256:dd91006848eb55af2159375134d724032a2d1d13bcc6f81cd8d3ed9f2b8e846c",
|
||||
"sha256:e05e60ff3b2b0342153be4d1b597bbcfd8330890056b9619f4ad6b8d5c96a81a",
|
||||
"sha256:e6906d6f48437dfd80464f7d7af1740eadc572b9f7a4301e7dd3d65db285cacf",
|
||||
"sha256:e92d0d4fa68ea0c02d39f1e2f9cb5bc4b4a71e8c442207433d8db47ee79d7aa3",
|
||||
"sha256:e94b7d9deaa4cc7bac9198a58a7240aaf87fe56c6277ee25fa5b3aa1edebd229",
|
||||
"sha256:ea3e746e29d4000cd98d572f3ee2a6050a4f784bb536f4ac1f035987fc1ed83e",
|
||||
"sha256:ec7e20258ecc5174029a0f391e1b948bf2906cd64c198a9b8b281b811cbc04de",
|
||||
"sha256:ec9465dd69d5657b5d2fa6133b3e1e989ae27d29471a672416fd729b429eb554",
|
||||
"sha256:f122ccd12fdc69628786d0c947bdd9cb2733be8f800d88b5a37c57f1f1d73c10",
|
||||
"sha256:f99c0489258086308aad4ae57da9e8ecf9e1f3f30fa35d5e170b4d4896554d80",
|
||||
"sha256:f9c51d9af9abb899bd34ace878fbec8bf357b3194a10c4e8e0a25512826ef056",
|
||||
"sha256:fd76c47f20984b43d93de9a82011bb6e5f8325df6c9ed4d8310029a55fa361ea"
|
||||
],
|
||||
"version": "==1.13.3"
|
||||
},
|
||||
"zipp": {
|
||||
"hashes": [
|
||||
"sha256:9f50f446828eb9d45b267433fd3e9da8d801f614129124863f9c51ebceafb87d",
|
||||
"sha256:b47250dd24f92b7dd6a0a8fc5244da14608f3ca90a5efcd37a3b1642fac9a375"
|
||||
],
|
||||
"version": "==3.7.0"
|
||||
}
|
||||
},
|
||||
"develop": {}
|
||||
}
|
||||
0
machine_learning/app/__init__.py
Normal file
0
machine_learning/app/__init__.py
Normal file
BIN
machine_learning/app/cars.jpg
Normal file
BIN
machine_learning/app/cars.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 193 KiB |
0
machine_learning/app/image_classifier/__init__.py
Normal file
0
machine_learning/app/image_classifier/__init__.py
Normal file
32
machine_learning/app/image_classifier/image_classifier.py
Normal file
32
machine_learning/app/image_classifier/image_classifier.py
Normal file
|
|
@ -0,0 +1,32 @@
|
|||
from tensorflow.keras.applications import InceptionV3
|
||||
from tensorflow.keras.applications.inception_v3 import preprocess_input, decode_predictions
|
||||
from tensorflow.keras.preprocessing import image
|
||||
import numpy as np
|
||||
|
||||
IMG_SIZE = 299
|
||||
PREDICTION_MODEL = InceptionV3(weights='imagenet')
|
||||
|
||||
|
||||
def classify_image(image_path: str):
|
||||
img_path = f'./app/{image_path}'
|
||||
img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
|
||||
x = image.img_to_array(img)
|
||||
x = np.expand_dims(x, axis=0)
|
||||
x = preprocess_input(x)
|
||||
|
||||
preds = PREDICTION_MODEL.predict(x)
|
||||
result = decode_predictions(preds, top=3)[0]
|
||||
payload = []
|
||||
for _, value, _ in result:
|
||||
payload.append(value)
|
||||
|
||||
return payload
|
||||
|
||||
|
||||
def warm_up():
|
||||
img_path = f'./app/test.png'
|
||||
img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
|
||||
x = image.img_to_array(img)
|
||||
x = np.expand_dims(x, axis=0)
|
||||
x = preprocess_input(x)
|
||||
PREDICTION_MODEL.predict(x)
|
||||
|
|
@ -1,27 +1,17 @@
|
|||
from typing import Optional
|
||||
from pydantic import BaseModel
|
||||
import numpy as np
|
||||
from fastapi import FastAPI
|
||||
import tensorflow as tf
|
||||
from tensorflow.keras.applications import InceptionV3
|
||||
from tensorflow.keras.applications.inception_v3 import preprocess_input, decode_predictions
|
||||
from tensorflow.keras.preprocessing import image
|
||||
|
||||
IMG_SIZE = 299
|
||||
PREDICTION_MODEL = InceptionV3(weights='imagenet')
|
||||
from .object_detection import object_detection
|
||||
from .image_classifier import image_classifier
|
||||
|
||||
from tf2_yolov4.anchors import YOLOV4_ANCHORS
|
||||
from tf2_yolov4.model import YOLOv4
|
||||
|
||||
|
||||
def warm_up():
|
||||
img_path = f'./app/test.png'
|
||||
img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
|
||||
x = image.img_to_array(img)
|
||||
x = np.expand_dims(x, axis=0)
|
||||
x = preprocess_input(x)
|
||||
PREDICTION_MODEL.predict(x)
|
||||
|
||||
HEIGHT, WIDTH = (640, 960)
|
||||
|
||||
# Warm up model
|
||||
warm_up()
|
||||
image_classifier.warm_up()
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
|
|
@ -31,21 +21,26 @@ class TagImagePayload(BaseModel):
|
|||
|
||||
@app.post("/tagImage")
|
||||
async def post_root(payload: TagImagePayload):
|
||||
imagePath = payload.thumbnail_path
|
||||
image_path = payload.thumbnail_path
|
||||
|
||||
if imagePath[0] == '.':
|
||||
imagePath = imagePath[2:]
|
||||
if image_path[0] == '.':
|
||||
image_path = image_path[2:]
|
||||
|
||||
img_path = f'./app/{imagePath}'
|
||||
img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
|
||||
x = image.img_to_array(img)
|
||||
x = np.expand_dims(x, axis=0)
|
||||
x = preprocess_input(x)
|
||||
return image_classifier.classify_image(image_path=image_path)
|
||||
|
||||
preds = PREDICTION_MODEL.predict(x)
|
||||
result = decode_predictions(preds, top=3)[0]
|
||||
payload = []
|
||||
for _, value, _ in result:
|
||||
payload.append(value)
|
||||
|
||||
return payload
|
||||
@app.get("/")
|
||||
async def test():
|
||||
|
||||
object_detection.run_detection()
|
||||
# image = tf.io.read_file("./app/cars.jpg")
|
||||
# image = tf.image.decode_image(image)
|
||||
# image = tf.image.resize(image, (HEIGHT, WIDTH))
|
||||
# images = tf.expand_dims(image, axis=0) / 255.0
|
||||
|
||||
# model = YOLOv4(
|
||||
# (HEIGHT, WIDTH, 3),
|
||||
# 80,
|
||||
# YOLOV4_ANCHORS,
|
||||
# "darknet",
|
||||
# )
|
||||
|
|
|
|||
0
machine_learning/app/object_detection/__init__.py
Normal file
0
machine_learning/app/object_detection/__init__.py
Normal file
|
|
@ -0,0 +1,4 @@
|
|||
|
||||
|
||||
def run_detection():
|
||||
print("run detection")
|
||||
|
|
@ -4,3 +4,4 @@ uvicorn>=0.15.0,<0.16.0
|
|||
tensorflow==2.8.0
|
||||
numpy==1.22.2
|
||||
pillow==9.0.1
|
||||
tf2_yolov4==0.1.0
|
||||
Loading…
Reference in a new issue