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本次更新实现了yolov5 v7.0的全新迁移,能够实现分类、分割、检测和各种格式模型的导出。 ☑ 多卡训练 ☑ 指定单卡训练和CPU训练 ☑ TensorRT ☑ ONNX ☑ OpenVIVO ☑ PaddleInference ☑ PaddleLite ☑ 断点续训 ☑ 自动下载模型 ☑ 自动下载数据集 ☑ 解决NMS过慢问题 ☑ 解决显存占用过高问题 ☑ benchmark
python benchmarks.py --weights ./yolov5s.pdparams --device 0
Benchmarks complete (187.81s) Format Size (MB) mAP50-95 Inference time (ms) 0 PaddlePaddle 13.9 0.4716 9.75 1 PaddleInference 27.8 0.4716 20.82 2 ONNX 27.6 0.4717 32.23 3 TensorRT 32.2 0.4717 3.05 4 OpenVINO 27.9 0.4717 43.67 5 PaddleLite 27.8 0.4717 264.86
The text was updated successfully, but these errors were encountered:
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本次更新实现了yolov5 v7.0的全新迁移,能够实现分类、分割、检测和各种格式模型的导出。
☑ 多卡训练
☑ 指定单卡训练和CPU训练
☑ TensorRT
☑ ONNX
☑ OpenVIVO
☑ PaddleInference
☑ PaddleLite
☑ 断点续训
☑ 自动下载模型
☑ 自动下载数据集
☑ 解决NMS过慢问题
☑ 解决显存占用过高问题
☑ benchmark
The text was updated successfully, but these errors were encountered: