训练核心显示修改
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@ -372,17 +372,17 @@ def Export_model_RODY(params_str):
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@obtain_train_param()
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@obtain_train_param()
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def returnTrainParams():
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def returnTrainParams():
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# nvmlInit()
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nvmlInit()
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# gpuDeviceCount = nvmlDeviceGetCount() # 获取Nvidia GPU块数
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gpuDeviceCount = nvmlDeviceGetCount() # 获取Nvidia GPU块数
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# _kernel = [f"cuda:{a}" for a in range(gpuDeviceCount)]
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_kernel = [f"cuda:{a}" for a in range(gpuDeviceCount)]
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params_list = [
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params_list = [
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{"index": 0, "name": "epochnum", "value": 10, "description": '训练轮次', "default": 100, "type": "I", 'show': True},
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{"index": 0, "name": "epochnum", "value": 10, "description": '训练轮次', "default": 100, "type": "I", 'show': True},
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{"index": 1, "name": "batch_size", "value": 4, "description": '批次图像数量', "default": 1, "type": "I",
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{"index": 1, "name": "batch_size", "value": 4, "description": '批次图像数量', "default": 1, "type": "I",
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'show': True},
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'show': True},
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{"index": 2, "name": "img_size", "value": 640, "description": '训练图像大小', "default": 640, "type": "I",
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{"index": 2, "name": "img_size", "value": 640, "description": '训练图像大小', "default": 640, "type": "I",
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'show': True},
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'show': True},
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{"index": 3, "name": "device", "value": "0", "description": '训练核心', "default": "cuda", "type": "S",
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{"index": 3, "name": "device", "value": 'CUDA', "description": '训练核心', "default": 'CUDA', "type": "E",
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"items": '', 'show': True}, # _kernel
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"items": _kernel, 'show': True}, # _kernel
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{"index": 4, "name": "saveModDir", "value": "E:/alg_demo-master/alg_demo/app/yolov5/best.pt",
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{"index": 4, "name": "saveModDir", "value": "E:/alg_demo-master/alg_demo/app/yolov5/best.pt",
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"description": '保存模型路径',
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"description": '保存模型路径',
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"default": "./app/maskrcnn/saved_model/test.pt", "type": "S", 'show': False},
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"default": "./app/maskrcnn/saved_model/test.pt", "type": "S", 'show': False},
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