Files named train.py

43.128.71.81 · train.py

Singapore · Tencent Building, Kejizhongyi Avenue

SHA1: 002c7b36e6480056b94abc9298aeaae4276b244a
SHA256: 0e4a873700cb7facc327b34d4589592a9b8b416bd6ce4d7874ae169c57e846eb
application/octet-stream
1.62KB
2024-11-30 16:36:44 +0000 UTC

43.128.71.81 · train.py

/XMem2/

Singapore · Tencent Building, Kejizhongyi Avenue

SHA1: 0055ea9513a1e0b263b82d7bd7125e8b1ce66103
SHA256: 67a8740000939c1cf57f2383650d1436c1bf52e71515b9fdef87f0c14f35a54b
application/octet-stream
9.64KB
2024-12-19 05:44:38 +0000 UTC

43.128.71.81 · train.py

/SPADE/

Singapore · Tencent Building, Kejizhongyi Avenue

SHA1: bb7a42a0b7cc42e632ba65dc06c85d96e0dab515
SHA256: 81c211ee9370f726f6022c5dc97f3c7a8ffa2992743b73e549a9800d202b3b6f
application/octet-stream
2.55KB
2024-07-27 10:25:14 +0000 UTC

35.200.168.67 · train.py

/gcp/google-cloud-sdk/lib/surface/ml_engine/local/

India · GOOGLE-CLOUD-PLATFORM

SHA1: 7e8fc270823d8a5261ad5b00349118c4daa9602d
SHA256: eaf9d4665d58f0b14b4aea1299da7ad0ae9220453670d44a79cecde941c94ca2
text/x-python
3.92KB
1980-01-01 08:00:00 +0000 UTC

139.144.27.220 · train.py

/src/scripts/model/

United States · Akamai Connected Cloud

SHA1: 345ab8e7fcb373ca159c7a3eb497e9cc6195fcc0
SHA256: 9bca66e801fb8dd8988e932ce1e19e8dec3503c717210c1edd7a4737e02ac057
text/x-python
1.59KB
2022-12-01 20:09:25 +0000 UTC

gameproxy.imomentgames.com · train.py

/Downloads/google-cloud-sdk/lib/surface/ai_platform/local/

China · Hangzhou Alibaba Advertising Co.,Ltd.

SHA1: 5f6f2f9c29d3a6595aa331deb7381fa48a95042b
SHA256: 16659834f032b6cf63e418db1f9c1eeac2452c20e0376dc78dbc933832a6ba7f
application/octet-stream
4.49KB
1980-01-01 08:00:00 +0000 UTC

h5game.imomentgames.com · train.py

/Downloads/google-cloud-sdk/lib/surface/ai_platform/local/

China · Hangzhou Alibaba Advertising Co.,Ltd.

SHA1: 5f6f2f9c29d3a6595aa331deb7381fa48a95042b
SHA256: 16659834f032b6cf63e418db1f9c1eeac2452c20e0376dc78dbc933832a6ba7f
application/octet-stream
4.49KB
1980-01-01 08:00:00 +0000 UTC

download.chencc.xyz · train.py

/aifakenews/

China · Shenzhen Tencent Computer Systems Company Limited

SHA1: 900b36dba9b707fcc4b7fab2d0090cf60e5d2c2b
SHA256: 66f2b1ad9cdcfdef355924546fd464e450974b8b21a3ab7dbe1d3dcd2ad96ee4
application/octet-stream
4.01KB
2024-05-21 06:54:49 +0000 UTC

www.static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/Vision_Transformer_PyTorch/

Germany · Hetzner Online GmbH

SHA1: 98f3348b7f31a79362ede005ac79ee5c7f3e23eb
SHA256: 8eb58c11e29b806e1daa1993d60b0eacfcd2c89ec423e0d40d8fe30b937c426e
text/x-python
529.00B
2024-10-29 14:16:12 +0000 UTC

static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/Vision_Transformer_PyTorch/

Germany · Hetzner Online GmbH

SHA1: 98f3348b7f31a79362ede005ac79ee5c7f3e23eb
SHA256: 8eb58c11e29b806e1daa1993d60b0eacfcd2c89ec423e0d40d8fe30b937c426e
text/x-python
529.00B
2024-10-29 14:16:12 +0000 UTC

www.static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/Understanding-Multiple-Object-Tracking-using-DeepSORT/yolov5/

Germany · Hetzner Online GmbH

SHA1: 4c93842dbf6fb7e70096d72ea6e09d8d7f2aa4ee
SHA256: c76593bfa0d33e55732b14b0a747c50e461d3e4d8f3519cec086839fb0f21d8e
text/x-python
34.08KB
2024-10-29 14:16:12 +0000 UTC

static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/Understanding-Multiple-Object-Tracking-using-DeepSORT/yolov5/

Germany · Hetzner Online GmbH

SHA1: 4c93842dbf6fb7e70096d72ea6e09d8d7f2aa4ee
SHA256: c76593bfa0d33e55732b14b0a747c50e461d3e4d8f3519cec086839fb0f21d8e
text/x-python
34.08KB
2024-10-29 14:16:12 +0000 UTC

www.static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/PyTorch-Vision-Experiment-Logging/

Germany · Hetzner Online GmbH

SHA1: 7451e92e0c0a3c8b6c31762401523739ad8c62df
SHA256: 9533f03ab27e7a0ffc971b2f9b158bb78986262de3129261d000d5eb34c03f9c
text/x-python
8.52KB
2024-10-29 14:16:12 +0000 UTC

static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/PyTorch-Vision-Experiment-Logging/

Germany · Hetzner Online GmbH

SHA1: 7451e92e0c0a3c8b6c31762401523739ad8c62df
SHA256: 9533f03ab27e7a0ffc971b2f9b158bb78986262de3129261d000d5eb34c03f9c
text/x-python
8.52KB
2024-10-29 14:16:12 +0000 UTC

static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/PyTorch-Multi-Label-Image-Classification/

Germany · Hetzner Online GmbH

SHA1: c519e650f847d21c9f72cae47be056afd750da82
SHA256: 6aa55d9202ee61ea14fac5bf16a00e852ff6005502913a178d40da4ded98e7e0
text/x-python
4.92KB
2024-10-29 14:16:12 +0000 UTC

www.static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/PyTorch-Multi-Label-Image-Classification/

Germany · Hetzner Online GmbH

SHA1: c519e650f847d21c9f72cae47be056afd750da82
SHA256: 6aa55d9202ee61ea14fac5bf16a00e852ff6005502913a178d40da4ded98e7e0
text/x-python
4.92KB
2024-10-29 14:16:12 +0000 UTC

static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/Optical-Character-Recognition-using-PaddleOCR/PaddleOCR/tools/

Germany · Hetzner Online GmbH

SHA1: 979de12cc59393701a22f98cc8b1fb73783d4a47
SHA256: 53e1f12851cac46c1b9d59518fb7b403a15bf42bc872d6b10dee0676e0a630e7
text/x-python
7.41KB
2024-10-29 14:16:12 +0000 UTC

www.static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/Optical-Character-Recognition-using-PaddleOCR/PaddleOCR/tools/

Germany · Hetzner Online GmbH

SHA1: 979de12cc59393701a22f98cc8b1fb73783d4a47
SHA256: 53e1f12851cac46c1b9d59518fb7b403a15bf42bc872d6b10dee0676e0a630e7
text/x-python
7.41KB
2024-10-29 14:16:12 +0000 UTC

static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/Optical-Character-Recognition-using-PaddleOCR/PaddleOCR/test_tipc/supplementary/

Germany · Hetzner Online GmbH

SHA1: 0dc15aae10755d3719439012ba817f8b0bdf7c41
SHA256: 6a1dfe405e4afec0d1c71d5719683ea5e2feca16933ba5f73490623d27d07aa3
text/x-python
15.68KB
2024-10-29 14:16:12 +0000 UTC

www.static.ux5.de · train.py

/Moving-Object-Detection-with-OpenCV/archiv/learnopencv-master/Optical-Character-Recognition-using-PaddleOCR/PaddleOCR/test_tipc/supplementary/

Germany · Hetzner Online GmbH

SHA1: 0dc15aae10755d3719439012ba817f8b0bdf7c41
SHA256: 6a1dfe405e4afec0d1c71d5719683ea5e2feca16933ba5f73490623d27d07aa3
text/x-python
15.68KB
2024-10-29 14:16:12 +0000 UTC