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change aspect ration #10
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| # train.py Config - Training | ||
| train: | ||
| # For datasets, please pass atleast 1 value. If no datasets exist, pass "" as path for images. | ||
| # Synthetic datasets with ground truth labels | ||
| datasetsTrain: | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/stemless-plastic-champagne-glass-train/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/stemless-plastic-champagne-glass-train/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/square-plastic-bottle-train/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/square-plastic-bottle-train/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/heart-bath-bomb-train/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/heart-bath-bomb-train/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/flower-bath-bomb-train/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/flower-bath-bomb-train/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/cup-with-waves-train/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-train/cup-with-waves-train/camera-normals' | ||
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| # Synthetic datasets with ground truth labels - 10% split of train | ||
| datasetsVal: | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/stemless-plastic-champagne-glass-val/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/stemless-plastic-champagne-glass-val/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/square-plastic-bottle-val/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/square-plastic-bottle-val/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/heart-bath-bomb-val/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/heart-bath-bomb-val/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/flower-bath-bomb-val/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/flower-bath-bomb-val/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/cup-with-waves-val/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-val/cup-with-waves-val/camera-normals' | ||
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| # Real Images (no ground truth labels) | ||
| datasetsTestReal: | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/real-test/d415/' | ||
| labels: '' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/real-test/d435/' | ||
| labels: '' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/real-val/d435/' | ||
| labels: '' | ||
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| # Synthetic datasets with ground truth labels - Used as test set | ||
| datasetsTestSynthetic: | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-test/glass-round-potion-test/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-test/glass-round-potion-test/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-test/glass-square-potion-test/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-test/glass-square-potion-test/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-test/star-bath-bomb-test/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-test/star-bath-bomb-test/camera-normals' | ||
| - images: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-test/tree-bath-bomb-test/rgb-imgs' | ||
| labels: '/cleargrasp_hdd/datasets/cleargrasp1/cleargrasp-dataset-test-val/synthetic-test/tree-bath-bomb-test/camera-normals' | ||
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| # For pretraining surface normals on Matterport3D and Scannet Datasets | ||
| datasetsMatterportTrain: | ||
| # - images: 'data/datasets/matterport3d/train/matterport_rgb/v1/scans' | ||
| # labels: 'data/datasets/matterport3d/train/matterport_render_normal' | ||
| datasetsMatterportVal: | ||
| # - images: 'data/datasets/matterport3d/val/matterport_rgb/v1/scans' | ||
| # labels: 'data/datasets/matterport3d/val/matterport_render_normal' | ||
| datasetsScannetTrain: | ||
| # - images: 'data/datasets/scannet/scannet-rgb/scans/train' | ||
| # labels: 'data/datasets/scannet/scannet_render_normal/train' | ||
| datasetsScannetVal: | ||
| # - images: 'data/datasets/scannet/scannet-rgb/scans/val' | ||
| # labels: 'data/datasets/scannet/scannet_render_normal/val' | ||
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| # Training/Validation Params | ||
| model: "drn" # Possible values: ['deeplab_xception', 'deeplab_resnet', 'drn'] | ||
| batchSize: 8 | ||
| batchSizeMatterport: 0 | ||
| batchSizeScannet: 0 | ||
| validationBatchSize: 8 | ||
| testBatchSize: 8 | ||
| numEpochs: 500 | ||
| imgHeight: 192 | ||
| imgWidth: 256 | ||
| numClasses: 3 | ||
| numInputChannels: 3 # Num of channels in input image. RGB = 3 channels, Grayscale = 1 channel. | ||
| numWorkers: 8 # Num of workers used in the dataloader | ||
| logsDir: "logs-deeplab" # Directory where logs of each exp will be saved. | ||
| lossFunc: "cosine" # Possible values: ['cosine', 'radians'] | ||
| percentageDataForTraining: 1.0 # The percentage of images in dataset to be used for training. | ||
| percentageDataForMatterportTraining: 0.5 # The percentage of images in dataset to be used for training. | ||
| percentageDataForScannetTraining: 0.35 | ||
| percentageDataForValidation: 1.0 | ||
| percentageDataForMatterportVal: 0.5 | ||
| percentageDataForScannettVal: 0.5 | ||
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| # Deeplab specific | ||
| outputStride: 8 # Possible values: [8, 16]. Output stride for deeplabv3 model. Smaller values give finer details in output mask. | ||
| epochSize: 1 # After these many epochs, change learning rate | ||
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| continueTraining: False # If true, continue training from a checkpoint | ||
| pathPrevCheckpoint: "checkpoints/outlines/drn-256p-contact-edges/checkpoints/checkpoint-epoch-0051.pth" # Path to .pth checkpoint file to load to continue training from | ||
| initOptimizerFromCheckpoint: False # Re-Initialize optimizer's state from checkpoint. NOTE: when this is enabled, value of learningRate will be overridden with value from checkpoint. | ||
| loadEpochNumberFromCheckpoint: False # If true, the epoch/iter numbering will start from the checkpoint's last epoch num. | ||
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| saveImageInterval: 1 # Log output images to tensorboard every saveImageInterval epochs | ||
| saveImageIntervalIter: 100 # Every N iterations, log output images to tensorboard | ||
| testInterval: 1 # Run on test set every nTestInterval epochs. Keep at 0 to skip tests. | ||
| saveModelInterval: 5 # Save the model checkpoints every N epochs | ||
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| # Optimizer Params | ||
| optimAdam: | ||
| learningRate: 0.0001 | ||
| weightDecay: 0 # Other values: 0.0001 | ||
| optimSgd: | ||
| learningRate: 1e-6 | ||
| momentum: 0.9 | ||
| weight_decay: 5e-4 | ||
| lrScheduler: "StepLR" # Possible Values: ['', 'StepLR', 'ReduceLROnPlateau'] | ||
| lrSchedulerStep: | ||
| step_size: 7 | ||
| gamma: 0.1 | ||
| lrSchedulerPlateau: | ||
| factor: 0.8 | ||
| patience: 25 | ||
| verbose: True | ||
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| # eval.py Config - Validation/Testing Inference | ||
| eval: | ||
| # Synthetic datasets with ground truth labels | ||
| # Used as validation set | ||
| datasetsSynthetic: | ||
| # - images: 'data/data/datasets/val/cup-with-waves-val/source-files/rgb-imgs' | ||
| # labels: 'data/data/datasets/val/cup-with-waves-val/source-files/outlines' | ||
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| # Datasets of real images, no labels available | ||
| # Used as Test set | ||
| datasetsReal: | ||
| # - images: "datasets-transparent/studio_pics_sorted/selected_test/d415" | ||
| # labels: "datasets-transparent/studio_pics_sorted/selected_test/d415" | ||
| # - images: "datasets-transparent/studio_pics_sorted/selected_test/d435" | ||
| # labels: "datasets-transparent/studio_pics_sorted/selected_test/d435" | ||
| # - images: "datasets-transparent/studio_pics_sorted/selected_val/d435" | ||
| # labels: "datasets-transparent/studio_pics_sorted/selected_val/d435" | ||
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| datasetsMatterport: | ||
| # - images: 'data/datasets/matterport3d/train/matterport_rgb/v1/scans' | ||
| # labels: 'data/datasets/matterport3d/train/matterport_render_normal' | ||
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| # Params | ||
| model: "drn" # Possible values: ['deeplab_xception', 'deeplab_resnet', 'drn'] | ||
| numClasses: 3 | ||
| batchSize: 32 | ||
| imgHeight: 192 | ||
| imgWidth: 256 | ||
| os: 8 | ||
| numWorkers: 4 # Num of workers used in the dataloader | ||
| pathWeightsFile: "checkpoints/outlines/drn-256p-contact-edges/checkpoints/checkpoint-epoch-0051.pth" # Path to the checkpoint to be loaded | ||
| resultsDir: "data/results" | ||
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| #add img resizing | ||
| #chnange imgHeight in config train and eval | ||
| # chnage paths to folders | ||
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Do remember to increase the batch size to whatever fills the GPU mem on the cloud (ideally some factor of 32)