基于YOLOv7+Pyside6的GUI可视化界面检测图像和视频源码+说明文档（高分项目）.rar

# Usage: pip install -r requirements.txt # Base ---------------------------------------- Pyside6 matplotlib>=3.2.2 numpy>=1.18.5,<1.24.0 opencv-python>=4.1.1 Pillow>=7.1.2 PyYAML>=5.3.1 requests>=2.23.0 scipy>=1.4.1 tqdm>=4.41.0 protobuf<4.21.3 # Logging ------------------------------------- tensorboard>=2.4.1 # wandb # Plotting ------------------------------------ pandas>=1.1.4 seaborn>=0.11.0 # Export -------------------------------------- # coremltools>=4.1 # CoreML export # onnx>=1.9.0 # ONNX export # onnx-simplifier>=0.3.6 # ONNX simplifier # scikit-learn==0.19.2 # CoreML quantization # tensorflow>=2.4.1 # TFLite export # tensorflowjs>=3.9.0 # TF.js export # openvino-dev # OpenVINO export # Extras -------------------------------------- ipython # interactive notebook psutil # system utilization thop # FLOPs computation # albumentations>=1.0.3 # pycocotools>=2.0 # COCO mAP # roboflow