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
