RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 28 but got size 29 for tensor number 1 in the list.

[jasonwongw]

First,It's a great job to get the content in the image to follow the content in the video. Secondly, I want to train on my own dataset, but there is an error during the training process, can you help me? Finally，This is really an amazing project.

[jasonwongw]

Here are my settings(fashion-256.yaml) and i‘ve a question. Does the resolution for critical point detectors and dense motion have to be 64×64?

dataset_params: root_dir: data\fashion frame_shape: [512, 512, 3] id_sampling: False augmentation_params: flip_param: horizontal_flip: True time_flip: True jitter_param: hue: 0.1

model_params: common_params: num_kp: 10 num_channels: 3 estimate_jacobian: True kp_detector_params: temperature: 0.1 block_expansion: 32 max_features: 1024 scale_factor: 0.5 num_blocks: 5 generator_params: block_expansion: 64 max_features: 512 num_down_blocks: 2 num_bottleneck_blocks: 6 estimate_occlusion_map: True dense_motion_params: block_expansion: 64 max_features: 1024 num_blocks: 5 scale_factor: 0.5 discriminator_params: scales: [1] block_expansion: 32 max_features: 512 num_blocks: 4

train_params: num_epochs: 100 num_repeats: 1 epoch_milestones: [60, 90] lr_generator: 2.0e-4 lr_discriminator: 2.0e-4 lr_kp_detector: 2.0e-4 batch_size: 1 scales: [1, 0.5, 0.25, 0.125] checkpoint_freq: 50 transform_params: sigma_affine: 0.05 sigma_tps: 0.005 points_tps: 5 loss_weights: generator_gan: 1 discriminator_gan: 1 feature_matching: [10, 10, 10, 10] perceptual: [10, 10, 10, 10, 10] equivariance_value: 10 equivariance_jacobian: 10

reconstruction_params: num_videos: 1000 format: '.mp4'

animate_params: num_pairs: 50 format: '.mp4' normalization_params: adapt_movement_scale: False use_relative_movement: True use_relative_jacobian: True

visualizer_params: kp_size: 5 draw_border: True colormap: 'gist_rainbow'

[jasonwongw]

D:\Anaconda\envs\pytorch\lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\actions-runner_work\pytorch\p ytorch\builder\windows\pytorch\aten\src\ATen\native\TensorShape.cpp:3191.) return _VF.meshgrid(tensors, kwargs) # type: ignore[attr-defined] Use predefined train-test split. Training... D:\Anaconda\envs\pytorch\lib\site-packages\torchvision\models_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. warnings.warn( D:\Anaconda\envs\pytorch\lib\site-packages\torchvision\models_utils.py:223: UserWarning: Arguments other than a weight enum or None for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing weights=VGG19_Weights.IMAGENET1K_V1. You can also use weights=VGG19_Weights.DEFAULT to get the most up-to-date weights. warnings.warn(msg) 0%| | 0/100 [00:00<?, ?it/s]C :\Users\jiewang\AppData\Roaming\Python\Python38\site-packages\skimage\io\manage_plugins.py:23: UserWarning: Your installed pillow version is < 7.1.0. Several security issues (CVE-2020-11538, CVE-2020-10379, CVE-2020-10994, CVE-202 0-10177) have been fixed in pillow 7.1.0 or higher. We recommend to upgrade this library. from .collection import imread_collection_wrapper C:\Users\jiewang\AppData\Roaming\Python\Python38\site-packages\skimage\io\manage_plugins.py:23: UserWarning: Your installed pillow version is < 7.1.0. Several security issues (CVE-2020-11538, CVE-2020-10379, CVE-2020-10994, CVE-20 20-10177) have been fixed in pillow 7.1.0 or higher. We recommend to upgrade this library. from .collection import imread_collection_wrapper C:\Users\jiewang\AppData\Roaming\Python\Python38\site-packages\skimage\io\manage_plugins.py:23: UserWarning: Your installed pillow version is < 7.1.0. Several security issues (CVE-2020-11538, CVE-2020-10379, CVE-2020-10994, CVE-20 20-10177) have been fixed in pillow 7.1.0 or higher. We recommend to upgrade this library. from .collection import imread_collection_wrapper C:\Users\jiewang\AppData\Roaming\Python\Python38\site-packages\skimage\io\manage_plugins.py:23: UserWarning: Your installed pillow version is < 7.1.0. Several security issues (CVE-2020-11538, CVE-2020-10379, CVE-2020-10994, CVE-20 20-10177) have been fixed in pillow 7.1.0 or higher. We recommend to upgrade this library. from .collection import imread_collection_wrapper C:\Users\jiewang\AppData\Roaming\Python\Python38\site-packages\skimage\io\manage_plugins.py:23: UserWarning: Your installed pillow version is < 7.1.0. Several security issues (CVE-2020-11538, CVE-2020-10379, CVE-2020-10994, CVE-20 20-10177) have been fixed in pillow 7.1.0 or higher. We recommend to upgrade this library. from .collection import imread_collection_wrapper C:\Users\jiewang\AppData\Roaming\Python\Python38\site-packages\skimage\io\manage_plugins.py:23: UserWarning: Your installed pillow version is < 7.1.0. Several security issues (CVE-2020-11538, CVE-2020-10379, CVE-2020-10994, CVE-20 20-10177) have been fixed in pillow 7.1.0 or higher. We recommend to upgrade this library. from .collection import imread_collection_wrapper 0%| | 0/100 [00:06<?, ?it/s] Traceback (most recent call last): File "run.py", line 81, in train(config, generator, discriminator, kp_detector, opt.checkpoint, log_dir, dataset, opt.device_ids) File "D:\pycharmproject\first-order-model-master\train.py", line 51, in train losses_generator, generated = generator_full(x) File "D:\Anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, *kwargs) File "D:\Anaconda\envs\pytorch\lib\site-packages\torch\nn\parallel\data_parallel.py", line 169, in forward return self.module(inputs[0], kwargs[0]) File "D:\Anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, kwargs) File "D:\pycharmproject\first-order-model-master\modules\model.py", line 152, in forward kp_source = self.kp_extractor(x['source']) File "D:\Anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, *kwargs) File "D:\pycharmproject\first-order-model-master\modules\keypoint_detector.py", line 53, in forward feature_map = self.predictor(x) File "D:\Anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(input, kwargs) File "D:\pycharmproject\first-order-model-master\modules\util.py", line 198, in forward return self.decoder(self.encoder(x)) File "D:\Anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "D:\pycharmproject\first-order-model-master\modules\util.py", line 182, in forward out = torch.cat([out, skip], dim=1) RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 28 but got size 29 for tensor number 1 in the list.

[Qia98]

I met the same problem, did you solve it? It looks like a data set format problem

[rbrbrbrbb]

I met the same problem