AI代码解释 RuntimeError: CUDA error: no kernel image is availableforexecution on the device 按照网络上常见的解释就是 torch 和 torchvision 版本不匹配,然而明明已经按照表格对应的版本进行了安装。 4. 解决方法:通过 whl 安装 在下载页面,按照表格对应的版本,分别下载 torch 和 torch vision 的.whl文件到本...
AI代码解释 np.random.seed(42)OUT_DIR='outputs'os.makedirs(OUT_DIR,exist_ok=True)device=torch.device("cuda"iftorch.cuda.is_available()else"cpu")COLORS=np.random.randint(0,255,size=(len(COCO_91_CLASSES),3))print(f"Tracking: {[COCO_91_CLASSES[idx] for idx in args.cls]}")print(f"...
raiseAttributeError(__former_attrs__[attr])AttributeError: module'numpy'has no attribute'int'.`np.int` was a deprecated aliasforthe builtin `int`. To avoid this errorinexisting code, use `int` by itself. Doing this willnotmodify any behaviorandissafe. When replacing `np.int`, you may ...
错误描述:在安装或更新torchvision后,运行时出现版本不兼容的错误提示,如“RuntimeError: CUDA error: no kernel image is available for execution on the device”等。 解决方法: 确认你的CUDA和cuDNN版本与torchvision版本相兼容。你可以查阅PyTorch官方网站的安装指南,找到对应版本的匹配关系。 如果你的CUDA版本过高...
(mask_path) # 将PIL图像转换为numpy数组 mask = np.array(mask) # 实例被编码为不同的颜色 obj_ids = np.unique(mask) # 第一个id是背景,所以删除它 obj_ids = obj_ids[1:] # 将颜色编码的mask分成一组 # 二进制格式 masks = mask == obj_ids[:, None, None] # 获取每个mask的边界框坐标 ...
AttributeError: module 'numpy' has no attribute 'int'. `` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing ``, you may wish to use e.g. `64` or `32`...
device ="cuda"if torch.cuda.is_available()else"cpu"kwargs = {'num_workers': 1,'pin_memory':True} if device=='cuda'else{}train_loader = torch.utils.data.DataLoader(torchvision.datasets.MNIST('/files/', train=True, download=True),batch_size=batch_size_train, **kwargs)test_loader = ...
identity = xifself.downsampleisnotNone: identity = self.downsample(x)#得到捷径分支的输出out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) out += identity out = self.relu(out)returnout#得到残差结构的最终输出classBottleneck(nn...
img = Image.open(img_path).convert("RGB")# note that we haven't converted the mask to RGB,# because each color corresponds to a different instance# with 0 being backgroundmask = Image.open(mask_path)# convert the PIL Image into a numpy arraymask = np.array(mask)# instances are enco...
然后就可以在pycharm中使用pip命令,但是还有报错WARNING: pip is configured with locations that require TLS/SSL, however the ssl module in Python is not available. 这是因为conda的环境变量也没有添加 正确应该是: 这样pycharm中对应的环境就完全是conda创建的虚拟环境了。