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Commit 5a3fd8fb authored by febert's avatar febert
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Revert "added setup.py" 

This reverts commit 2c6c6954.
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......@@ -99,10 +99,3 @@ ENV/
# mypy
.mypy_cache/
# tensorflow model files:
model-*
events.out*
.idea/
pretrained_models/bair_action_free/model.savp.transformation.flow.last_frames.2.generate_scratch_image.false.batch_size.16/checkpoint deleted 100644 → 0
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model_checkpoint_path: "model-300000"
all_model_checkpoint_paths: "model-290000"
all_model_checkpoint_paths: "model-295000"
all_model_checkpoint_paths: "model-300000"
pretrained_models/bair_action_free/model.savp.transformation.flow.last_frames.2.generate_scratch_image.false.batch_size.16/dataset_hparams.json deleted 100644 → 0
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{
"context_frames": 2,
"crop_size": 0,
"force_time_shift": false,
"frame_skip": 0,
"scale_size": 0,
"sequence_length": 15,
"time_shift": 3,
"use_state": true
}
\ No newline at end of file
pretrained_models/bair_action_free/model.savp.transformation.flow.last_frames.2.generate_scratch_image.false.batch_size.16/model_hparams.json deleted 100644 → 0
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{
"ablation_conv_rnn_norm": false,
"acvideo_gan_weight": 0.0,
"acvideo_vae_gan_weight": 0.0,
"ae_l2_weight": 0.0,
"batch_size": 16,
"beta1": 0.9,
"beta2": 0.999,
"clip_length": 10,
"context_frames": 2,
"context_images_background": false,
"conv_rnn": "lstm",
"d_conditional": true,
"d_downsample_layer": "conv_pool2d",
"d_net": "legacy",
"d_use_gt_inputs": true,
"decay_steps": [
200000,
300000
],
"dependent_mask": true,
"dilation_rate": [
1,
1
],
"downsample_layer": "conv_pool2d",
"e_net": "n_layer",
"end_lr": 0.0,
"feature_l2_weight": 0.0,
"first_image_background": true,
"gan_feature_cdist_weight": 0.0,
"gan_feature_l2_weight": 0.0,
"gan_loss_type": "LSGAN",
"gan_weight": 0.0,
"generate_scratch_image": false,
"image_gan_weight": 0.0,
"image_sn_gan_weight": 0.0,
"image_sn_vae_gan_weight": 0.0,
"image_vae_gan_weight": 0.0,
"kernel_size": [
5,
5
],
"kl_anneal": "linear",
"kl_anneal_k": -1.0,
"kl_anneal_steps": [
50000,
100000
],
"kl_weight": 0.001,
"l1_weight": 1.0,
"l2_weight": 0.0,
"last_frames": 2,
"lr": 0.001,
"max_steps": 300000,
"n_layers": 3,
"ndf": 32,
"nef": 64,
"ngf": 32,
"norm_layer": "instance",
"num_samples": 8,
"num_transformed_images": 4,
"nz": 8,
"prev_image_background": true,
"repeat": 3,
"rnn": "lstm",
"schedule_sampling": "inverse_sigmoid",
"schedule_sampling_k": 900.0,
"schedule_sampling_steps": [
0,
100000
],
"sequence_length": 15,
"state_weight": 0.0001,
"transformation": "flow",
"tuple_gan_weight": 0.0,
"tuple_vae_gan_weight": 0.0,
"tv_weight": 0.0,
"upsample_layer": "upsample_conv2d",
"use_e_rnn": false,
"use_rnn_z": true,
"vae_gan_weight": 0.0,
"vgg_cdist_weight": 0.0,
"video_gan_weight": 0.0,
"video_sn_gan_weight": 0.0,
"video_sn_vae_gan_weight": 0.0,
"video_vae_gan_weight": 0.0,
"where_add": "all",
"z_l1_weight": 0.0
}
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pretrained_models/bair_action_free/model.savp.transformation.flow.last_frames.2.generate_scratch_image.false.batch_size.16/options.json deleted 100644 → 0
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{
"checkpoint": null,
"dataset": "cartgripper",
"dataset_hparams": null,
"dataset_hparams_dict": null,
"eval_summary_freq": 0,
"gif_freq": 0,
"gpu_mem_frac": 0,
"image_summary_freq": 5000,
"input_dir": "data/cartgripper_updown_sact",
"logs_dir": "logs/cartgripper/vae",
"metrics_freq": 0,
"model": "savp",
"model_hparams": "transformation=flow,last_frames=2,generate_scratch_image=false,batch_size=16",
"model_hparams_dict": "hparams/bair/ours_vae_l1/model_hparams.json",
"output_dir": "logs/cartgripper/vae/model.savp.transformation.flow.last_frames.2.generate_scratch_image.false.batch_size.16",
"progress_freq": 100,
"resume": false,
"save_freq": 5000,
"seed": null,
"summary_freq": 1000,
"val_input_dirs": null
}
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pretrained_models/bair_action_free/ours_savp/checkpoint deleted 100644 → 0
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model_checkpoint_path: "model-300000"
pretrained_models/bair_action_free/ours_savp/dataset_hparams.json deleted 100644 → 0
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{
"context_frames": 2,
"crop_size": 0,
"force_time_shift": false,
"frame_skip": 0,
"scale_size": 0,
"sequence_length": 12,
"time_shift": 2,
"use_state": false
}
\ No newline at end of file
pretrained_models/bair_action_free/ours_savp/model_hparams.json deleted 100644 → 0
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{
"ablation_conv_rnn_norm": false,
"acvideo_gan_weight": 0.0,
"acvideo_vae_gan_weight": 0.0,
"ae_l2_weight": 0.0,
"batch_size": 16,
"beta1": 0.5,
"beta2": 0.999,
"clip_length": 10,
"context_frames": 2,
"context_images_background": false,
"conv_rnn": "lstm",
"d_conditional": true,
"d_downsample_layer": "conv_pool2d",
"d_net": "legacy",
"d_use_gt_inputs": true,
"decay_steps": [
200000,
300000
],
"dependent_mask": true,
"dilation_rate": [
1,
1
],
"downsample_layer": "conv_pool2d",
"e_net": "n_layer",
"end_lr": 0.0,
"feature_l2_weight": 0.0,
"first_image_background": true,
"gan_feature_cdist_weight": 0.0,
"gan_feature_l2_weight": 0.0,
"gan_loss_type": "GAN",
"gan_weight": 0.0,
"generate_scratch_image": true,
"image_gan_weight": 0.0,
"image_sn_gan_weight": 0.0,
"image_sn_vae_gan_weight": 0.0,
"image_vae_gan_weight": 0.0,
"kernel_size": [
5,
5
],
"kl_anneal": "linear",
"kl_anneal_k": -1.0,
"kl_anneal_steps": [
50000,
100000
],
"kl_weight": 0.1,
"l1_weight": 100.0,
"l2_weight": 0.0,
"last_frames": 1,
"lr": 0.0002,
"n_layers": 3,
"ndf": 32,
"nef": 64,
"ngf": 32,
"norm_layer": "instance",
"num_samples": 8,
"num_transformed_images": 4,
"nz": 8,
"prev_image_background": true,
"repeat": 2,
"rnn": "lstm",
"schedule_sampling": "inverse_sigmoid",
"schedule_sampling_k": 900.0,
"schedule_sampling_steps": [
0,
100000
],
"sequence_length": 12,
"state_weight": 0.0,
"transformation": "cdna",
"tuple_gan_weight": 0.0,
"tuple_vae_gan_weight": 0.0,
"tv_weight": 0.0,
"upsample_layer": "upsample_conv2d",
"use_e_rnn": false,
"use_rnn_z": true,
"vae_gan_weight": 0.0,
"vgg_cdist_weight": 0.0,
"video_gan_weight": 0.0,
"video_sn_gan_weight": 1.0,
"video_sn_vae_gan_weight": 1.0,
"video_vae_gan_weight": 0.0,
"where_add": "all",
"z_l1_weight": 0.0
}
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pretrained_models/bair_action_free/ours_savp/options.json deleted 100644 → 0
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{
"dataset": "softmotion",
"model": "savp"
}
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setup.py deleted 100644 → 0
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# setup.py
from setuptools import setup
setup(
name='alex_video_prediction',
version='0.1.0',
packages=['video_prediction'],
)
\ No newline at end of file
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