openCV目标识别 目标跟踪 YOLO5深度学习 Python 计算机视觉 计算机毕业设计 源码下载

torch框架   Pyqt5工具 目标识别 目标跟踪   YOLOv5+PyQt5

一、运行

运行main.py文件

二、图片检测

说明：检测的图片要放在data\images   文件夹下

# pip install -r requirements.txt

# base ----------------------------------------

matplotlib>=3.2.2

numpy>=1.18.5

opencv-python>=4.1.2

Pillow

PyYAML>=5.3.1

scipy>=1.4.1

torch>=1.7.0

torchvision>=0.8.1

tqdm>=4.41.0

# logging -------------------------------------

tensorboard>=2.4.1

# wandb

# plotting ------------------------------------

seaborn>=0.11.0

pandas

# export --------------------------------------

# coremltools>=4.1

# onnx>=1.8.1

# scikit-learn==0.19.2  # for coreml quantization

# extras --------------------------------------

thop  # FLOPS computation

pycocotools>=2.0  # COCO mAP

# pyqt5

pyqt5

pyqt5-tools