Author: `Peng-Yu Chen` # Table of Contents 1. Introduction 2. Methodology Overview 3. Evaluation Guideline 4. Training Procedure 5. Extensive Experiments --- # Introduction This is the documentation of **CANF-VC++** - a following work of Ho *et al.*, "CANF-VC: Conditional Augmented Normalizing Flows for Video Compression," ECCV'22. In this document, you can find algorithm details, environment setup for execution, execution commands of each improvement tools and training procedure. --- # Methodology Overview ## CANF-VC ## Error-Propagation-Aware Training ## Round-Based Training ## GridNet * Checkpoints keys | Lambda | Exp Key | Epoch | Note | | ------ | -------------------------------- | ----- | ---- | | 2048 | 0f460045ed33482b9433f3a125f39c99 | 41 | | * Testing Commands * 2048: `$ python condMo_condInter_ANFIC_GridNet.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=CANFVC_Plus --experiment_name=CANFVC_gridnet --restore_exp_key=0f460045ed33482b9433f3a125f39c99 --restore_exp_epoch=41 --test --gop=32` ## Increasing Modulated Loss + Feature Map Modulation ### Ch-Sp-wise - GridNet + inter codec (w/ IFS) * Checkpoints keys | Lambda | Exp Key | Epoch | Note | | ------ | -------------------------------- | ----- | ---- | | 2048 | 1dfec31ac37347009dfa3060e6a6de51 | 15 | | * Testing Commands * ### Ch-wise - GridNet + inter codec (w/ IFS) * Checkpoints keys | Lambda | Exp Key | Epoch | Note | | ------ | -------------------------------- | ----- | ---- | | 2048 | b8fa4895c82248b4b67d75b2184c4061 | 5 | | * Testing Commands * ### Ch-wise - GridNet last layer only (w/o IFS) * Checkpoints keys | Lambda | Exp Key | Epoch | Note | | ------ | ------- | ----- | ---- | | 2048 | | | | * Training Commands * 2048: ## Quadtree Partition-Based Entropy Coding ### Ch-Sp-wise - GridNet + inter codec (w/ IFS) * Checkpoints keys | Lambda | Exp Key | Epoch | Note | | ------ | ------- | ----- | ------ | | 2048 | | | step 1 | | 2048 | | | step 2 | | 2048 | | | step 3 | * Training Commands * 2048 (step 1): `$ python condMo_condInter_ANFIC_Adaptive_GridNet_FS_v2.py --MENet=PWC --adaptive_type=both --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior_DCVC_DC_Context.yml --residual_coder_conf ./config/CANF_inter_coder_estUN_DCVC_DC_Context.yml --lmda=2048 --num_workers=8 --gpus=2 --batch_size 1 --restore=load --project_name=CANFVC_PP --experiment_name=FS_GridNet_Adaptive_ChSp_DCVC_DC_Context --restore_exp_key=1dfec31ac37347009dfa3060e6a6de51 --restore_exp_epoch=15 -lr=1e-4 --lmda_divisor=1.414` ### Ch-wise - GridNet + inter codec (w/ IFS) * Training Commands * 2048: `$ python train_ChAda_Large.py --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior_DCVC_DC_Context.yml --residual_coder_conf ./config/CANF_inter_coder_estUN_DCVC_DC_Context.yml --lmda=2048 --num_workers=8 --gpus=2 --batch_size 1 --project_name=CANFVC_PP --experiment_name=ChAdaptive --restore=custom -lr=1e-4 --mod_loss --lmda_divisor=1.414` > To Wayne: you need to specify your trained model in "TO BE MODIFIED" --- # Evaluation Guideline ## Environment Setup ## Commands ### Error-Propagation-Aware Training > ~/CANFVC_Plus/ * 1440: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder.yml --lmda=1440 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-RealRNN-GOP32 --restore_exp_key=d44b23b19826417ea95aa6e8cb41497c --restore_exp_epoch=35 --test --test_GOP=32` *  * 720: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder.yml --lmda=720 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-RealRNN-GOP32 --restore_exp_key=1ba5f0dc15064aadb9d8abaddea7f17a --restore_exp_epoch=35 --test --test_GOP=32` *  * 360: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder.yml --lmda=360 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-RealRNN-GOP32 --restore_exp_key=7f7c9a9a87504ccba73481506c1ae265 --restore_exp_epoch=35 --test --test_GOP=32` *  * 180: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder.yml --lmda=180 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-RealRNN-GOP32 --restore_exp_key=b3e60326d2a14ced811a022ade651996 --restore_exp_epoch=35 --test --test_GOP=32` *  ### Round-Based Training > ~/CANFVC_Plus/ * 2048: `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN_gop12 --restore_exp_key=ee92616c8e0f427b9eadda20b70d11a4 --restore_exp_epoch=41 --test --test_GOP=12` *  * 1024: `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN_gop12 --restore_exp_key=447a00ee468449feae4e6065ba4456de --restore_exp_epoch=40 --test --test_GOP=12` *  * 512: `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN_gop12 --restore_exp_key=50812d3e7fd549c38e82256cb9872fc7 --restore_exp_epoch=39 --test --test_GOP=12` *  * 256: `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN_gop12 --restore_exp_key=82ab8db341c144cf9ad09f913930a511 --restore_exp_epoch=40 --test --test_GOP=12` *  ### GridNet * 2048 : `$ CUDA_VISIBLE_DEVICES=0 python -s condMo_condInter_ANFIC_GridNet.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=CANFVC_Plus --experiment_name=CANFVC_gridnet --restore_exp_key=0f460045ed33482b9433f3a125f39c99 --restore_exp_epoch=41 --test --gop=32 ;` *  * gop=12:  * 1024 : `$ CUDA_VISIBLE_DEVICES=0 python -s condMo_condInter_ANFIC_GridNet.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=CANFVC_Plus --experiment_name=CANFVC_gridnet --restore_exp_key=4879b7144e5d4320bc3ae1e639f3bddf --restore_exp_epoch=39 --test --gop=32 ;` *  * gop=12:  * 512 : `$ CUDA_VISIBLE_DEVICES=0 python -s condMo_condInter_ANFIC_GridNet.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=CANFVC_Plus --experiment_name=CANFVC_gridnet --restore_exp_key=997ccae829654d16b932daa6506fd7c8 --restore_exp_epoch=33 --test --gop=32 ;` *  * gop=12:  * 256 : `$ CUDA_VISIBLE_DEVICES=0 python -s condMo_condInter_ANFIC_GridNet.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=CANFVC_Plus --experiment_name=CANFVC_gridnet --restore_exp_key=12fe5082edf449aa9a0bcb5c5cdc3c54 --restore_exp_epoch=41 --test --gop=32 ;` *  * gop=12:  ### Increasing Modulated Loss * 2048: `$ CUDA_VISIBLE_DEVICES=0 python -s train_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=WACV24 --experiment_name=ChAdaptive_noContext_noIFS --restore_exp_key=990e42771cbf4181a0ae8a1bb07e349b --restore_exp_epoch=12 --test --gop=32 ; ` * 1024: `$ CUDA_VISIBLE_DEVICES=0 python -s train_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=WACV24 --experiment_name=ChAdaptive_noContext_noIFS --restore_exp_key=6c2a7cd31d2947ecab579a5ffcaa1d83 --restore_exp_epoch=12 --test --gop=32 ; ` * 512: `$ CUDA_VISIBLE_DEVICES=1 python -s train_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=WACV24 --experiment_name=ChAdaptive_noContext_noIFS --restore_exp_key=e10ca94e4bf24883804b5c3f4b6df250 --restore_exp_epoch=12 --test --gop=32 ; ` * 256: `$ CUDA_VISIBLE_DEVICES=1 python -s train_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=WACV24 --experiment_name=ChAdaptive_noContext_noIFS --restore_exp_key=2911bf9d853c4ba489858ab3e176276d --restore_exp_epoch=12 --test --gop=32 ; ` ### Quadtree Partition-Based Entropy Coding * 2048: `$ CUDA_VISIBLE_DEVICES=0 python -s train_ChAda_Large_noIFS.py --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior_DCVC_DC_Context.yml --residual_coder_conf ./config/CANF_inter_coder_estUN_DCVC_DC_Context.yml --lmda=2048 --num_workers=4 --gpus=1 --project_name=WACV24 --experiment_name=ChAdaptive_noIFS --restore=resume --restore_exp_key=9aacc8ee63f544109ea9efac19bca7c8 --restore_exp_epoch=11 --test --gop=32 ;` *  * 1024: `$ CUDA_VISIBLE_DEVICES=0 python -s train_ChAda_Large_noIFS.py --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior_DCVC_DC_Context.yml --residual_coder_conf ./config/CANF_inter_coder_estUN_DCVC_DC_Context.yml --lmda=1024 --num_workers=4 --gpus=1 --project_name=WACV24 --experiment_name=ChAdaptive_noIFS --restore=resume --restore_exp_key=1d27847b0680466cac4a6d69adb02a35 --restore_exp_epoch=11 --test --gop=32 ;` *  * 512: `$ CUDA_VISIBLE_DEVICES=0 python -s train_ChAda_Large_noIFS.py --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior_DCVC_DC_Context.yml --residual_coder_conf ./config/CANF_inter_coder_estUN_DCVC_DC_Context.yml --lmda=512 --num_workers=4 --gpus=1 --project_name=WACV24 --experiment_name=ChAdaptive_noIFS --restore=resume --restore_exp_key=4adf603648c54f7ba18d7e33bdfc5dd6 --restore_exp_epoch=11 --test --gop=32 ;` *  * 256: `$ CUDA_VISIBLE_DEVICES=0 python -s train_ChAda_Large_noIFS.py --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior_DCVC_DC_Context.yml --residual_coder_conf ./config/CANF_inter_coder_estUN_DCVC_DC_Context.yml --lmda=256 --num_workers=4 --gpus=1 --project_name=WACV24 --experiment_name=ChAdaptive_noIFS --restore=resume --restore_exp_key=b91833f03db545e3b2e3328e6a52c366 --restore_exp_epoch=11 --test --gop=32 ;` *  --- # Training Procedure --- # Extensive Experiments ### CANF-VC + round-based training * Table of experiments | lambda | epoch | exp_hash | Note | | ------ | ----- | -------------------------------- | -------------------------------------------------------- | | 2048 | 28 | 9920f2c4c5c34b17b8fc5c61c8933241 | finetune from CANF-VC ; use 7 frames for fair comparison | | 1024 | 28 | b39192f761104040b18f1b73f5fb60d8 | | | 512 | 28 | 65c2022b6f534e7bb02bb20ba68e0d5c | | | 256 | 28 | 8955196cc69749428c857d56af39b727 | | | 2048 | 28 | 3f0efc4bf70f4992ba0237431fd81ee0 | lmda_divisor=1.414 | | 1024 | 28 | 2cad35416ebe4141a0d3f3c29c23a418 | lmda_divisor=1.414 | | 512 | 28 | 740a1aa058ad4967b0c786428cea8114 | lmda_divisor=1.414 | | 256 | 28 | e886b3e448994794934e032b7e1a652b | lmda_divisor=1.414 | * Training Command | lambda | Command | Note | | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---- | | 2048 | `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN --restore_exp_key=cf8be0b8102c4a6eb2015b58f184f757 --restore_exp_epoch=83 -lr=1e-5 --lmda_divisor=1.414 ; ` | | | 1024 | `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN --restore_exp_key=e641f66d28e3413288d655ab238994aa --restore_exp_epoch=80 -lr=1e-5 --lmda_divisor=1.414 ; ` | | | 512 | `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN --restore_exp_key=b3914fc0525244e4be05ac45674d9f39 --restore_exp_epoch=80 -lr=1e-5 --lmda_divisor=1.414 ; ` | | | 256 | `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN --restore_exp_key=58777cdc6f6440e98180b20a5ff758b2 --restore_exp_epoch=89 -lr=1e-5 --lmda_divisor=1.414 ; ` | | * Testing Command * 2048: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN --restore_exp_key=9920f2c4c5c34b17b8fc5c61c8933241 --restore_exp_epoch=28 --test --gop=32 ;` * 1024: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN --restore_exp_key=b39192f761104040b18f1b73f5fb60d8 --restore_exp_epoch=28 --test --gop=32 ;` * 512: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN --restore_exp_key=65c2022b6f534e7bb02bb20ba68e0d5c --restore_exp_epoch=28 --test --gop=32 ;` * 256: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN --restore_exp_key=8955196cc69749428c857d56af39b727 --restore_exp_epoch=28 --test --gop=32 ;` * 2048: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN_again --restore_exp_key=3f0efc4bf70f4992ba0237431fd81ee0 --restore_exp_epoch=28 --test --gop=32 ;` * 1024: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN_again --restore_exp_key=2cad35416ebe4141a0d3f3c29c23a418 --restore_exp_epoch=28 --test --gop=32 ;` * 512: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN_again --restore_exp_key=740a1aa058ad4967b0c786428cea8114 --restore_exp_epoch=28 --test --gop=32 ;` * 256: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-estUN_again --restore_exp_key=e886b3e448994794934e032b7e1a652b --restore_exp_epoch=28 --test --gop=32 ;` ### CANF-VC + round-based training + EPA training * Table of experiments | lambda | epoch | exp_hash | Note | | ------ | ----- | -------------------------------- | -------------------------------------------------------- | | 2048 | 39 | 8cab5a71eff542eeb93da1643afbb0ba | Re-train from CANF-VC ; use 7 frames for fair comparison | | 1024 | 39 | 7dae47249b064ddc88bfb0dc3e7693a8 | | | 512 | 38/39 | ac98fc585aaf4ab69a6a224f4bb155bd | | | 256 | 38 | 15948370d98b418f988ab85658865c01 | | * Training Command | lambda | Command | Note | | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---- | | 2048 | `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN --restore_exp_key=cf8be0b8102c4a6eb2015b58f184f757 --restore_exp_epoch=83 -lr=1e-5 --lmda_divisor=1.414` | | | 1024 | `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN --restore_exp_key=8cab5a71eff542eeb93da1643afbb0ba --restore_exp_epoch=39 -lr=1e-5 --lmda_divisor=1.414` | | | 512 | `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN --restore_exp_key=8cab5a71eff542eeb93da1643afbb0ba --restore_exp_epoch=39 -lr=1e-5 --lmda_divisor=1.414` | | | 256 | `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN --restore_exp_key=8cab5a71eff542eeb93da1643afbb0ba --restore_exp_epoch=39 -lr=1e-5 --lmda_divisor=1.414` | | * Testing Command * 2048: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN --restore_exp_key=8cab5a71eff542eeb93da1643afbb0ba --restore_exp_epoch=39 --test --gop=32 ;` * 1024: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN --restore_exp_key=7dae47249b064ddc88bfb0dc3e7693a8 --restore_exp_epoch=39 --test --gop=32 ;` * 512: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN --restore_exp_key=ac98fc585aaf4ab69a6a224f4bb155bd --restore_exp_epoch=38 --test --gop=32 ;` * 256: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-estUN --restore_exp_key=15948370d98b418f988ab85658865c01 --restore_exp_epoch=38 --test --gop=32 ;` ### CANF-VC + round-based training + modulated loss * `diff` from Exp "CANF-VC + round-based training + EPA training " *  * Table of experiments | lambda | epoch | exp_hash | Note | | ------ | ----- | -------------------------------- | ---- | | 2048 | 32 | eebd47ed166044428894e80044b4ebc4 | | | 1024 | 30/32 | c395ebc5d6cd4f9eb121e8bd13a9cffe | | | 512 | 30/32 | df96587e83c74b89be1b23f256e3a565 | | | 256 | 30/31 | acab53aff1254cf690ae2288d26ee0e8 | | * Training Command | lambda | Command | Note | | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---- | | 2048 | `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC_modLoss.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-modLoss-estUN --restore_exp_key=cf8be0b8102c4a6eb2015b58f184f757 --restore_exp_epoch=83 -lr=1e-5 --lmda_divisor=1.414` | | | 1024 | `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC_modLoss.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-modLoss-estUN --restore_exp_key=eebd47ed166044428894e80044b4ebc4 --restore_exp_epoch=32 -lr=1e-5 --lmda_divisor=1.414` | | | 512 | `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC_modLoss.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-modLoss-estUN --restore_exp_key=eebd47ed166044428894e80044b4ebc4 --restore_exp_epoch=32 -lr=1e-5 --lmda_divisor=1.414` | | | 256 | `$ CUDA_VISIBLE_DEVICES=1 python3 condMo_condInter_ANFIC_modLoss.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-modLoss-estUN --restore_exp_key=eebd47ed166044428894e80044b4ebc4 --restore_exp_epoch=32 -lr=1e-5 --lmda_divisor=1.414` | | * Testing Command * 2048: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-modLoss-estUN --restore_exp_key=eebd47ed166044428894e80044b4ebc4 --restore_exp_epoch=32 --test --gop=32 ;` * 1024: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-modLoss-estUN --restore_exp_key=c395ebc5d6cd4f9eb121e8bd13a9cffe --restore_exp_epoch=30 --test --gop=32 ;` * 512: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-modLoss-estUN --restore_exp_key=df96587e83c74b89be1b23f256e3a565 --restore_exp_epoch=30 --test --gop=32 ;` * 256: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-modLoss-estUN --restore_exp_key=acab53aff1254cf690ae2288d26ee0e8 --restore_exp_epoch=30 --test --gop=32 ;` * Comparison * UVG:  * HEVC-B:  ### CANF-VC + round-based training + modulated loss + EPA training * Table of experiments | lambda | epoch | exp_hash | Note | | ------ | ----- | -------------------------------- | -------------- | | 2048 | 39 | d24d62d38a2e484f81f7267efc02b385 | | | 1024 | 35 | 85be92f6bceb42c7a891830641c2fae7 | | | 512 | 40 | 4a0f7cb81e49475a9a763b2197f2d07e | | | 256 | 35 | 2834752f503a4885a5ec55e3eee1ce3e | | | 2048 | 35 | c0d061c858004fc8881806b87b3125c9 | lmda_divisor=2 | | 1024 | 35 | 045244bb7bcd4a88b5c3012312ebfd8a | lmda_divisor=2 | | 512 | 35 | 2df3f8da6eee4e14a4d2270162b28fc5 | lmda_divisor=2 | | 256 | 35 | e311de16c4ff4aa3b30ea3076db6c29f | lmda_divisor=2 | * Training Command | lambda | Command | Note | | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---- | | 2048 | `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC_modLoss.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=cf8be0b8102c4a6eb2015b58f184f757 --restore_exp_epoch=83 -lr=1e-5 --lmda_divisor=2 ; ` | | | 1024 | `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC_modLoss.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=d24d62d38a2e484f81f7267efc02b385 --restore_exp_epoch=39 -lr=1e-5 --lmda_divisor=2 ; ` | | | 512 | `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC_modLoss.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=d24d62d38a2e484f81f7267efc02b385 --restore_exp_epoch=39 -lr=1e-5 --lmda_divisor=2 ; ` | | | 256 | `$ CUDA_VISIBLE_DEVICES=0 python3 condMo_condInter_ANFIC_modLoss.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=d24d62d38a2e484f81f7267efc02b385 --restore_exp_epoch=39 -lr=1e-5 --lmda_divisor=2 ; ` | | * Testing Command * 2048: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=d24d62d38a2e484f81f7267efc02b385 --restore_exp_epoch=39 --test --gop=32 ;` * 1024: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=85be92f6bceb42c7a891830641c2fae7 --restore_exp_epoch=35 --test --gop=32 ;` * 512: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=4a0f7cb81e49475a9a763b2197f2d07e --restore_exp_epoch=40 --test --gop=32 ;` * 256: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=2834752f503a4885a5ec55e3eee1ce3e --restore_exp_epoch=35 --test --gop=32 ;` * 2048: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=c0d061c858004fc8881806b87b3125c9 --restore_exp_epoch=35 --test --gop=32 ;` * 1024: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=045244bb7bcd4a88b5c3012312ebfd8a --restore_exp_epoch=35 --test --gop=32 ;` * 512: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=2df3f8da6eee4e14a4d2270162b28fc5 --restore_exp_epoch=35 --test --gop=32 ;` * 256: `$ python3 condMo_condInter_ANFIC.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --project_name=ANF-based-resCoder-for-DVC --experiment_name=CANFVC-realRNN-modLoss-estUN --restore_exp_key=e311de16c4ff4aa3b30ea3076db6c29f --restore_exp_epoch=35 --test --gop=32 ;` ### CANF-VC + round-based training + modulated loss + EPA training + ChAda * Table of experiments | lambda | epoch | exp_hash | Note | | -------- | ----- | -------------------------------- | -------------------------- | | 2048-pre | 3 | 0d602342e29a45a3918b570e9e12b267 | ~/WACV24 ; trainMC_fullgop | | 2048 | 21 | 7c5ce8595c8940eab05ba42e754d1775 | trainRes_fullgop | | 2048 | 9 | b9be279baaf14cd985d395dccd53c754 | e2e | | 1024 | 8/10 | 0c0625bfb42b417fa9b385c328f42e31 | | | 512 | 10 | 7b13f6add97b4fa5a27a029db31ea648 | | | 256 | 9 | bd92ef61885b488fbcf126a0f2948880 | | * Training Command | lambda | Command | Note | | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---- | | 2048-pre | `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --batch_size 2 --restore=custom --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS -lr=1e-4 --lmda_divisor=1.414 --mod_loss` | | | 2048 | `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --batch_size 2 --restore=load --restore_exp_key=0d602342e29a45a3918b570e9e12b267 --restore_exp_epoch=3 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS -lr=2e-5 --lmda_divisor=1.414 --mod_loss` | | | 2048 | `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --restore_exp_key=7c5ce8595c8940eab05ba42e754d1775 --restore_exp_epoch=21 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS -lr=2e-5 --lmda_divisor=1.414 --mod_loss` | | | 1024 | `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --restore_exp_key=7c5ce8595c8940eab05ba42e754d1775 --restore_exp_epoch=21 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS -lr=2e-5 --lmda_divisor=1.414 --mod_loss` | | | 512 | `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --restore_exp_key=7c5ce8595c8940eab05ba42e754d1775 --restore_exp_epoch=21 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS -lr=2e-5 --lmda_divisor=1.414 --mod_loss` | | | 256 | `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --batch_size 2 --restore=finetune --restore_exp_key=7c5ce8595c8940eab05ba42e754d1775 --restore_exp_epoch=21 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS -lr=2e-5 --lmda_divisor=1.414 --mod_loss` | | * Testing Command * 2048: `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=2048 --num_workers=4 --gpus=1 --restore=resume --restore_exp_key=b9be279baaf14cd985d395dccd53c754 --restore_exp_epoch=9 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS_again --test --gop=32 ;` * 1024: `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=1024 --num_workers=4 --gpus=1 --restore=resume --restore_exp_key=0c0625bfb42b417fa9b385c328f42e31 --restore_exp_epoch=8 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS_again --test --gop=32 ;` * 512: `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=512 --num_workers=4 --gpus=1 --restore=resume --restore_exp_key=7b13f6add97b4fa5a27a029db31ea648 --restore_exp_epoch=10 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS_again --test --gop=32 ;` * 256: `$ python3 train_MCNet_ChAda_Large_noIFS.py --MENet=PWC --motion_coder_conf ./config/DVC_motion.yml --cond_motion_coder_conf ./config/CANF_motion_predprior.yml --residual_coder_conf ./config/CANF_inter_coder_estUN.yml --lmda=256 --num_workers=4 --gpus=1 --restore=resume --restore_exp_key=bd92ef61885b488fbcf126a0f2948880 --restore_exp_epoch=9 --project_name=WACV24 --experiment_name=MCNet_ChAdaptive_noIFS_again --test --gop=32 ;`
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