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Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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Jupyter Notebook 98.8%
Python 1.2%
 
 
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Ibai Gorordo f2439f894c
Add missing TF layers (#792) 
Add following layers to tf.py:
- TFMP (MP)
- TFSPPCSPC (SPPCSPC)
- TFRepConv (RepConv)
 		2022-09-20 00:31:41 +03:00
data u5 code 2022-07-06 23:40:53 +08:00
models Add missing TF layers (#792) 2022-09-20 00:31:41 +03:00
utils u5 code 2022-07-06 23:40:53 +08:00
LICENSE.md Create LICENSE.md 2022-07-07 08:14:11 +03:00
README.md Initial commit 2022-07-06 23:14:07 +08:00
detect.py u5 code 2022-07-06 23:40:53 +08:00
export.py u5 code 2022-07-06 23:40:53 +08:00
hubconf.py u5 code 2022-07-06 23:40:53 +08:00
requirements.txt u5 code 2022-07-06 23:40:53 +08:00
setup.cfg u5 code 2022-07-06 23:40:53 +08:00
train.py u5 code 2022-07-06 23:40:53 +08:00
val.py u5 code 2022-07-06 23:40:53 +08:00

README.md

yolov7

Implementation of "YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors"