ErrLookup › WZMIAOMIAO/deep-learning-for-image-processing
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc. · Python · 480 source files
Analyzed at 1ec3fe6f37 on 2026-08-30. 148 documented errors.
| Code / Message | Type | Severity | Tags |
|---|---|---|---|
| not support data format '{self.data_format}' | validation | error | pytorch, config-validation, argument-error |
| image: {} isn't RGB mode. | validation | error | pytorch, pil, data-loading, image-mode |
| Transformer input dimension should be divisible by head dime | validation | error | pytorch, transformer, config-validation, divisibility |
| image: {} isn't RGB mode. | validation | error | pytorch, pil, data-loading, image-mode |
| Embedding dim must be divisible by number of heads in {}. Go | validation | error | pytorch, transformer, attention, divisibility |
| not support model name: {} | validation | error | pytorch, model-config, factory, keyerror |
| image: {} isn't RGB mode. | validation | error | pytorch, pil, data-loading, image-mode |
| {} not in download_links | validation | error | pytorch, weights-download, keyerror, script-config |
| not found weights file: {} | exception | error | pytorch, file-not-found, pretrained-weights, cli-args |
| illegal stride value. | validation | error | pytorch, conv, config-validation, stride |
| image: {} isn't RGB mode. | validation | error | pytorch, dataset, pillow, image-mode, valueerror |
| not found weights file: {} | exception | error | pytorch, file-not-found, weights, cli-args |
| illegal stride value. | validation | error | pytorch, mobilenetv3, config, valueerror, stride |
| The inverted_residual_setting should not be empty. | validation | error | pytorch, mobilenetv3, config, valueerror |
| The inverted_residual_setting should be List[InvertedResidua | validation | error | pytorch, mobilenetv3, typeerror, config |
| illegal stride value. | validation | error | pytorch, shufflenetv2, valueerror, stride |
| expected stages_repeats as list of 3 positive ints | validation | error | pytorch, shufflenetv2, valueerror, config, argument-validation |
| expected stages_out_channels as list of 5 positive ints | validation | error | pytorch, shufflenetv2, valueerror, config, argument-validation |
| image: {} isn't RGB mode. | validation | error | pytorch, dataset, pillow, image-mode, valueerror |
| not found weights file: {} | exception | error | pytorch, file-not-found, weights, cli-args |
| memory efficient not supported in JIT | exception | error | pytorch, torchscript, jit, gradient-checkpointing |
| image: {} isn't RGB mode. | validation | error | pytorch, pillow, dataset, image-mode |
| not found weights file: {} | exception | error | pytorch, file-not-found, pretrained-weights, argparse |
| illegal stride value. | validation | error | pytorch, efficientnet, valueerror, model-config |
| image: {} isn't RGB mode. | validation | error | pytorch, pillow, dataset, image-mode |
| not found weights file: {} | exception | error | pytorch, file-not-found, pretrained-weights |
| no match key '{}' | validation | error | pytorch, tensorflow, weight-conversion, keyerror |
| image: {} isn't RGB mode. | validation | error | pytorch, pillow, dataset, image-mode |
| The input image should np.float32 in the range [0, 1] | exception | error | pytorch, grad-cam, opencv, image-normalization |
| illegal stride value. | validation | error | pytorch, mobilenet, valueerror, stride |
| expected stages_repeats as list of 3 positive ints | validation | error | python, pytorch, valueerror, model-config |
| expected stages_out_channels as list of 5 positive ints | validation | error | python, pytorch, valueerror, model-config |
| image: {} isn't RGB mode. | validation | error | python, pytorch, pil, dataset, valueerror |
| not find GPU device for training. | exception | critical | python, pytorch, cuda, environment, gpu |
| dataset have {} classes, but input {} | validation | error | python, pytorch, valueerror, dataset, cli-args |
| dataset have {} classes, but input {} | validation | error | python, pytorch, valueerror, dataset, cli-args |
| illegal stride value. | validation | error | python, pytorch, valueerror, model-config, efficientnet |
| image: {} isn't RGB mode. | validation | error | python, pytorch, pil, dataset, valueerror |
| image: {} isn't RGB mode. | validation | error | python, pytorch, pil, dataset, valueerror |
| image: {} isn't RGB mode. | validation | error | python, pytorch, pil, dataset, valueerror, multi-gpu |
| not find GPU device for training. | exception | critical | pytorch, cuda, gpu, environment, distributed-training |
| not find GPU device for training. | exception | critical | pytorch, cuda, gpu, multiprocessing, distributed-training |
| not found weights file: {} | exception | error | pytorch, file-not-found, checkpoint, paths |
| image: {} isn't RGB mode. | validation | error | pytorch, dataset, pil, preprocessing, data-loading |
| not support distributed training. | exception | error | pytorch, distributed-training, ddp, launch, environment |
| not support iou_type: {self.iou_type} | exception | error | pytorch, coco, evaluation, keypoints, config |
| '{}' object has no attribute '{}' | exception | error | python, attributeerror, metrics, logging |
| sampler should be an instance of torch.utils.data.Sampler, b | validation | error | pytorch, sampler, type-error, dataloader, validation |
| Please run accumulate() first | exception | error | pytorch, coco, evaluation, lifecycle, state-error |
| return_layers are not present in model | validation | error | pytorch, faster-rcnn, fpn, backbone, config |
| VOCdevkit dose not in path:'{}'. | exception | error | filesystem, path, dataset, voc |
| VOCdevkit dose not in path:'{}'. | exception | error | filesystem, path, dataset, voc |
| Image '{}' format not JPEG | validation | error | dataset, image-format, pil, voc |
| No ground-truth boxes available for one of the images during | validation | error | training, target-detection, empty-boxes, matcher |
| No proposal boxes available for one of the images during tra | validation | error | training, rpn, proposals, matcher |
| In training mode, targets should be passed | validation | error | training, targets, api-misuse, faster-rcnn |
| Expected target boxes to be a tensorof shape [N, 4], got {:} | validation | error | training, targets, shape-mismatch, tensor |
| Expected target boxes to be of type Tensor, got {:}. | validation | error | training, targets, type-error, tensor |
| backbone should contain an attribute out_channelsspecifying | validation | error | backbone, fpn, configuration, attribute-error |
| num_classes should be None when box_predictor is specified | validation | error | configuration, constructor, api-misuse, faster-rcnn |
| num_classes should not be None when box_predictor is not spe | validation | error | python, valueerror, constructor, object-detection |
| images is expected to be a list of 3d tensors of shape [C, H | validation | error | python, valueerror, tensor-shape, data-loading |
| VOCdevkit dose not in path:'{}'. | exception | error | python, filenotfound, dataset, environment |
| VOCdevkit dose not in path:'{}'. | exception | error | python, filenotfound, dataset, multi-gpu |
| VOCdevkit dose not in path:'{}'. | exception | error | python, filenotfound, dataset, environment |
| Unknown iou type {} | validation | error | python, valueerror, coco, evaluation |
| '{}' object has no attribute '{}' | exception | error | python, attributeerror, logging, metrics |
| sampler should be an instance of torch.utils.data.Sampler, b | validation | error | python, valueerror, sampler, dataloader |
| Please run accumulate() first | exception | error | python, runtimeerror, evaluation, lifecycle |
| VOCdevkit dose not in path:'{}'. | exception | error | python, filenotfound, dataset, validation |
| return_layers are not present in model | validation | error | pytorch, validation, config |
| No ground-truth boxes available for one of the images during | validation | error | pytorch, training, data |
| No proposal boxes available for one of the images during tra | validation | error | pytorch, training, rpn |
| In training mode, targets should be passed | validation | error | pytorch, training, api-misuse |
| Expected target boxes to be a tensorof shape [N, 4], got {:} | validation | error | pytorch, validation, shapes |
| Expected target boxes to be of type Tensor, got {:}. | validation | error | pytorch, validation, types |
| backbone should contain an attribute out_channelsspecifying | validation | error | pytorch, config, backbone |
| num_classes should be None when box_predictor is specified | validation | error | pytorch, config, api-misuse |
| num_classes should not be None when box_predictor is not spe | validation | error | pytorch, config, api-misuse |
| mask_roi_pool should be of type MultiScaleRoIAlign or None i | exception | error | pytorch, types, api-misuse |
| num_classes should be None when mask_predictor is specified | exception | error | python, mask-rcnn, configuration |
| target should not be None. | exception | critical | python, mask-rcnn, training |
| if in training, matched_idxs should not be None | exception | error | python, mask-rcnn, training |
| targets, pos_matched_idxs, mask_logits cannot be None when t | exception | error | python, mask-rcnn, training |
| images is expected to be a list of 3d tensors of shape [C, H | exception | error | python, image-preprocessing, tensor-shape |
| not support iou_type: {self.iou_type} | exception | error | python, coco, evaluation |
| '{}' object has no attribute '{}' | exception | error | python, metrics, attributeerror |
| sampler should be an instance of torch.utils.data.Sampler, b | exception | error | python, sampler, dataloader |
| Please run accumulate() first | exception | error | python, coco, evaluation |
| return_layers are not present in model | exception | error | python, fpn, backbone |
| Image '{}' format not JPEG | exception | error | python, pytorch, dataset, image-format |
| No ground-truth boxes available for one of the images during | exception | error | pytorch, object-detection, training, empty-targets |
| No proposal boxes available for one of the images during tra | exception | error | pytorch, object-detection, training, anchors |
| backbone should contain an attribute out_channels specifying | exception | error | pytorch, object-detection, backbone, api-contract |
| In training mode, targets should be passed | exception | error | pytorch, object-detection, training, api-misuse |
| Expected target boxes to be a tensorof shape [N, 4], got {:} | exception | error | pytorch, object-detection, shape-mismatch, validation |
| Expected target boxes to be of type Tensor, got {:}. | exception | error | pytorch, object-detection, type-error, validation |
| All bounding boxes should have positive height and width. Fo | exception | error | pytorch, object-detection, annotation, data-quality |
| images is expected to be a list of 3d tensors of shape [C, H | exception | error | pytorch, object-detection, shape-mismatch, tensor |
| VOCdevkit dose not in path:'{}'. | exception | error | python, pytorch, dataset, file-not-found |
| VOCdevkit dose not in path:'{}'. | exception | error | filesystem, dataset, config, pytorch |
| Unknown iou type {} | exception | error | coco, evaluation, valueerror, config |
| '{}' object has no attribute '{}' | exception | error | attributeerror, logging, pytorch, typo |
| sampler should be an instance of torch.utils.data.Sampler, b | exception | error | pytorch, sampler, typeerror, dataloader |
| Please run accumulate() first | exception | error | coco, evaluation, lifecycle, pytorch |
| VOCdevkit dose not in path:'{}'. | exception | error | filesystem, dataset, validation, config |
| Image '{}' format not JPEG | exception | error | image-format, dataset, pillow, preprocessing |
| backbone is None | exception | error | pytorch, ssd, backbone, constructor |
| the backbone not has attribute: out_channel | exception | error | pytorch, ssd, backbone, interface, duck-typing |
| In training mode, targets should be passed | exception | error | pytorch, ssd, training-mode, forward, api-misuse |
| sampler should be an instance of torch.utils.data.Sampler, b | validation | error | python, pytorch, type-error, sampler |
| Please run accumulate() first | exception | error | python, pytorch, coco, evaluation-order |
| %s does not exist | exception | error | python, file-not-found, yolo, dataset |
| Error loading data from {}. {} | exception | error | python, file-not-found, yolo, dataset |
| the cfg file not exist... | exception | error | python, file-not-found, yolo, config |
| Unsupported fields:{} in cfg | validation | error | python, yolo, config, validation |
| conv2d filter size must be int type. | validation | error | python, pytorch, yolo, type-error, config |
| %s is not compatible with %s. Specify --weights '' or specif | exception | error | python, pytorch, yolo, checkpoint, weights |
| not find GPU device for training. | exception | critical | python, pytorch, gpu, cuda, environment |
| %s is not compatible with %s. Specify --weights '' or specif | exception | error | python, pytorch, yolo, checkpoint, distributed |
| Unknown iou type {} | validation | error | value-error, coco, configuration, typo |
| '{}' object has no attribute '{}' | exception | error | attribute-error, metrics, typo, training |
| sampler should be an instance of torch.utils.data.Sampler, b | validation | error | value-error, sampler, type-check, dataloader |
| Please run accumulate() first | exception | error | lifecycle-order, coco-evaluation, runtime-error, validation |
| return_layers are not present in model | validation | error | value-error, backbone, feature-extraction, configuration |
| illegal stride value. | validation | error | value-error, mobilenet, stride, configuration |
| The inverted_residual_setting should not be empty. | validation | error | value-error, mobilenet, empty-config, configuration |
| The inverted_residual_setting should be List[InvertedResidua | validation | error | type-error, mobilenet, configuration, type-check |
| replace_stride_with_dilation should be None or a 3-element t | validation | error | value-error, resnet, dilation, configuration |
| VOCdevkit dose not in path:'{}'. | exception | critical | file-not-found, dataset-path, voc, environment |
| '{}' object has no attribute '{}' | exception | error | python, attribute-error, metrics, training-loop |
| replace_stride_with_dilation should be None or a 3-element t | validation | error | python, value-error, resnet, dilation, config |
| return_layers are not present in model | validation | error | python, value-error, backbone, feature-extraction |
| VOCdevkit dose not in path:'{}'. | exception | error | file-not-found, dataset, voc, path, multi-gpu |
| '{}' object has no attribute '{}' | exception | error | python, attribute-error, metrics, training-loop |
| return_layers are not present in model | validation | error | python, value-error, backbone, lraspp, feature-extraction |
| illegal stride value. | validation | error | python, value-error, mobilenet, stride, backbone |
| The inverted_residual_setting should not be empty. | validation | error | python, value-error, mobilenet, empty-list, backbone |
| The inverted_residual_setting should be List[InvertedResidua | validation | error | python, type-error, mobilenet, backbone, config |
| VOCdevkit dose not in path:'{}'. | exception | error | file-not-found, dataset, voc, lraspp, multi-gpu |
| '{}' object has no attribute '{}' | exception | error | python, attributeerror, training-loop |
| '{}' object has no attribute '{}' | exception | error | python, attributeerror, training-loop |
| file {i} does not exists. | exception | error | python, file-not-found, dataset |
| return_layers are not present in model | validation | error | python, valueerror, backbone, torchvision |
| return_layers are not present in model | validation | error | python, valueerror, backbone, torchvision |
| DRIVE dose not in path:'{}'. | exception | error | python, file-not-found, dataset, multi-gpu |
| '{}' object has no attribute '{}' | exception | error | python, attributeerror, training-loop |
| illegal stride value. | validation | error | python, valueerror, tensorflow, efficientnet |