深度学习-卷积神经网络-目标检测YOLO-v3-推理运行-55

目录

代码仓地址：
https://github.com/qqwweee/keras-yolo3.git

0. 创建虚拟环境
   

1. 三方件安装
   Python 3.7.5
   conda 4.1.6

    pip3 uninstall keras-nightly
	pip3 uninstall -y tensorflow
	pip3 install keras==2.1.6
	pip3 install tensorflow==1.15.0
	pip3 install h5py==2.10.0
    pip install opencv-python ==3.4.2.16
	pip install pillow
	pip install matplotlib

requirements.txt：

absl-py==2.1.0
astor==0.8.1
astunparse==1.6.3
cachetools==5.3.3
certifi==2024.2.2
charset-normalizer==3.3.2
cycler==0.11.0
distro==1.9.0
flatbuffers==24.3.7
fonttools==4.38.0
gast==0.2.2
google-auth==2.28.2
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.62.1
h5py==2.10.0
idna==3.6
importlib-metadata==6.7.0
Keras==2.1.6
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.2
kiwisolver==1.4.5
libclang==18.1.1
Markdown==3.4.4
MarkupSafe==2.1.5
matplotlib==3.5.3
numpy==1.21.6
oauthlib==3.2.2
opencv-python==3.4.2.16
opt-einsum==3.3.0
packaging==24.0
Pillow==9.5.0
protobuf==3.19.6
pyasn1==0.5.1
pyasn1-modules==0.3.0
pyparsing==3.1.2
python-dateutil==2.9.0.post0
PyYAML==6.0.1
requests==2.31.0
requests-oauthlib==1.4.0
rsa==4.9
scikit-build==0.17.6
scipy==1.7.3
six==1.16.0
tensorboard==1.15.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==1.15.0
tensorflow-estimator==1.15.1
tensorflow-intel==2.11.0
tensorflow-io-gcs-filesystem==0.31.0
termcolor==2.3.0
tomli==2.0.1
typing_extensions==4.7.1
urllib3==2.0.7
Werkzeug==2.2.3
wrapt==1.16.0
zipp==3.15.0

2. weights文件下载
   直接在浏览器输入：
   https://pjreddie.com/media/files/yolov3.weights

3. 模型格式转换
   python convert.py yolov3.cfg yolov3.weights model_data/yolo.h5

4. image检测
   python yolo_video.py --image
   输入图片路径
   \your\path\darks.jpg

5. video检测
   python yolo_video.py --input \your\path\basketball.MP4 --output \your\path\basketball_bak.MP4