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TCN: CSV Dive file generation, data generation with correct step GT, re-training #26

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Jun 11, 2024
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TCN: CSV Dive file generation, data generation with correct step GT, re-training #26

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6ac10d3
cleanup
periakiva Apr 10, 2024
bf63af6
path updating
periakiva Apr 11, 2024
c4b850c
path fixes
periakiva Apr 11, 2024
2237fca
paths and lab data
periakiva Apr 11, 2024
e052546
Merge branch 'main' of github.com:periakiva/TCN_HPL into main
periakiva Jun 5, 2024
a15031a
config file update
periakiva Jun 6, 2024
1b3e5c8
data generation with correct step GT, retraining of all models
periakiva Jun 10, 2024
d0e6ebb
code cleanup
periakiva Jun 10, 2024
4f8c39c
Merge pull request #11 from periakiva/new_datagen
periakiva Jun 10, 2024
fdd5261
clean dead code, split function refactor
periakiva Jun 10, 2024
e80a9cd
import and code cleanup
periakiva Jun 10, 2024
c6265c7
import cleanup
periakiva Jun 10, 2024
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102 changes: 59 additions & 43 deletions configs/experiment/m2/feat_v6.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,9 @@
# to execute this experiment run:
# python train.py experiment=example
task: "m2"
feature_version: 6
topic: "medical"

defaults:
- override /data: ptg
- override /model: ptg
Expand All @@ -13,16 +16,10 @@ defaults:

# all parameters below will be merged with parameters from default configurations set above
# this allows you to overwrite only specified parameters
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
exp_name: "p_m2_feat_v6_with_pose_v3_aug_False_reshuffle_True"
# exp_name: "p_m2_feat_v6_no_pose_v3_aug_False_reshuffle_True"
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_False_reshuffle_False" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_True" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_False" #[_v2_aug_False]
# exp_name: "p_m2_feat_v6_with_pose_v3_aug_False_reshuffle_True"


tags: ["m2", "ms_tcn"]
tags: ["m2", "ms_tcn", "debug"]

seed: 12345

Expand All @@ -35,15 +32,61 @@ model:
compile: false

net:
dim: 209 # length of feature vector
dim: 297 # length of feature vector

IMAGE_HZ: 30 # zed bags
#IMAGE_HZ: 15 # BBN hololens live
OBJECT_DET_HZ: 15
POSE_HZ: 4



data_gen:
top_k_objects: 1
pose_repeat_rate: 7.5
num_augs: 5

data_type: "pro"
# dataset_kwcoco: "/data/users/peri.akiva/datasets/ptg/m2_all_all_obj_results_with_dets_and_pose.mscoco.json"
dataset_kwcoco: "/data/PTG/medical/coco/m2_all_all_obj_results_with_dets_and_pose.mscoco.json"


activity_config_fn: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels/medical/m2.yaml"
exp_ext: "_NEW_ORDER_fix_overlap_gt_step_gt" # anything unique about this run that isn't already in ``exp_name``
exp_name: "${task}_${data_gen.data_type}_data_top_${data_gen.top_k_objects}_objs_feat_v${feature_version}_pose_rate_${data_gen.pose_repeat_rate}${data_gen.exp_ext}"
raw_data_root: /data/PTG/medical/bbn_data/Release_v0.5/v0.56
dive_output_root: /data/PTG/medical/activity_anns

filter_black_gloves: false
filter_blue_gloves: false
train_vid_ids: [1, 2, 4, 8, 9, 10, 11, 12, 16, 17,18, 20, 19, 30, 31, 32, 33, 34,35,36,
7,132,133,50,51,54,56,52,61,53,57,65,66,67,68,69,58,60,64,125,126,
127,129,131,134,135,136,119,122,124,70,72,92,93,94,95,97,98,100,
101,102,103,104,105,107,108,112,114,117,118,73]
val_vid_ids: [5, 59,106,130,138, 77, 123, 71]
test_vid_ids: [3,14,55,62,96,109,128,137,139, 120, 75, 21, 13]

names_black_gloves: [22,23,26,24,25,27,29,28,41,42,43,44,45,46,47,48,49,78,
79,84,88,90,80,81,82,83,85,86,87,89,91,99,110,111,121,113,115,116]
names_blue_gloves: [132,133,50,51,54,55,56,52,61,59,53,57,62,65,66,67,68,69,
58,60,63,64,125,126,127,129,131,134,135,136,128,130,137,
138,139]

train_vid_ids_bbn: [3, 4, 5, 9, 10, 11, 12,
13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,
31, 32, 33, 34,35,36, 37, 38, 39, 40,
41, 42, 43, 44, 45, 46, 48, 49,
51, 52, 53, 54]
val_vid_ids_bbn: [1, 6, 7, 29, 50]
test_vid_ids_bbn: [2, 8, 30, 47]

data:
num_classes: 9 # activities: includes background
batch_size: 512
num_workers: 16
epoch_length: 20000
window_size: 30
sample_rate: 1
window_size: 25
sample_rate: 2

all_transforms:
train_order: [] #["MoveCenterPts", "NormalizePixelPts"]
Expand All @@ -58,46 +101,19 @@ data:
feat_version: 6
num_obj_classes: 9 # not including background

data_gen:
reshuffle_datasets: true
augment: false
num_augs: 5
feat_type: "with_pose" #[no_pose, with_pose, only_hands_joints, only_objects_joints]
filter_black_gloves: false
filter_blue_gloves: false
train_vid_ids: [1, 2, 4, 8, 9, 10, 11, 12, 16, 17,18, 20, 19, 30, 31, 32, 33, 34,35,36,
7,132,133,50,51,54,56,52,61,53,57,65,66,67,68,69,58,60,64,125,126,
127,129,131,134,135,136,119,122,124,70,72,92,93,94,95,97,98,100,
101,102,103,104,105,107,108,112,114,117,118,73]
val_vid_ids: [5, 59,106,130,138, 77, 123, 71]
test_vid_ids: [3,14,55,62,96,109,128,137,139, 120, 75, 21, 13]
names_black_gloves: [22,23,26,24,25,27,29,28,41,42,43,44,45,46,47,48,49,78,
79,84,88,90,80,81,82,83,85,86,87,89,91,99,110,111,121,113,115,116]
names_blue_gloves: [132,133,50,51,54,55,56,52,61,59,53,57,62,65,66,67,68,69,
58,60,63,64,125,126,127,129,131,134,135,136,128,130,137,
138,139]
exp_name: ${data_gen.exp_name}_win_${data.window_size}_obj_sample_${data.sample_rate}


paths:
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_False_reshuffle_True" #[_v2_aug_False]
data_dir: "/data/PTG/TCN_data/m2/p_m2_feat_v6_with_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_feat_v6_no_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_feat_v6_no_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_False_reshuffle_False" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_False" #[_v2_aug_False]

# root_dir: "/data/PTG/medical/training/activity_classifier/TCN_HPL"
root_dir: "/data/users/peri.akiva/PTG/medical/training/activity_classifier/TCN_HPL"

# dataset_kwcoco: "/data/users/peri.akiva/datasets/ptg/m2_good_images_only_no_amputation_stump_train_activity_obj_results_with_dets_and_pose.mscoco.json"
data_dir: "/data/PTG/medical/training/activity_classifier/TCN_data/${task}/${data_gen.exp_name}"
root_dir: "/data/PTG/medical/training/activity_classifier/TCN_HPL/"
dataset_kwcoco: "/data/users/peri.akiva/datasets/ptg/m2_all_all_obj_results_with_dets_and_pose.mscoco.json"
activity_config_root: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels"
dataset_kwcoco_lab:
activity_config_root: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels/medical"
activity_config_fn: "${paths.activity_config_root}/${task}"
ptg_root: "/home/local/KHQ/peri.akiva/angel_system"
activity_config_path: "${paths.ptg_root}/config/activity_labels/medical"
output_data_dir_root: "/data/PTG/TCN_data"
# bbn_data_root: "{bbn_data_dir}/Release_v0.5/v0.56"
bbn_data_dir: "/data/PTG/medical/bbn_data"


Expand Down
95 changes: 51 additions & 44 deletions configs/experiment/m3/feat_v6.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,9 @@
# to execute this experiment run:
# python train.py experiment=example
task: "m3"
feature_version: 6
topic: "medical"

defaults:
- override /data: ptg
- override /model: ptg
Expand All @@ -13,16 +16,10 @@ defaults:

# all parameters below will be merged with parameters from default configurations set above
# this allows you to overwrite only specified parameters
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
exp_name: "p_m3_feat_v6_with_pose_v3_aug_False_reshuffle_True"
# exp_name: "p_m2_feat_v6_no_pose_v3_aug_False_reshuffle_True"
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_False_reshuffle_False" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_True" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_False" #[_v2_aug_False]
# exp_name: "p_m3_feat_v6_with_pose_v3_aug_False_reshuffle_True"


tags: ["m3", "ms_tcn"]
tags: ["m3", "ms_tcn", "debug"]

seed: 12345

Expand All @@ -35,15 +32,51 @@ model:
compile: false

net:
dim: 188 # length of feature vector
dim: 246 # length of feature vector



data_gen:
top_k_objects: 1
pose_repeat_rate: 7.5
num_augs: 5
feat_type: "with_pose" #[no_pose, with_pose, only_hands_joints, only_objects_joints]

data_type: "pro"
# dataset_kwcoco: "/data/users/peri.akiva/datasets/ptg/m2_all_all_obj_results_with_dets_and_pose.mscoco.json"
dataset_kwcoco: "/data/PTG/medical/coco/m3_all_all_obj_results_with_dets_and_pose.mscoco.json"

activity_config_fn: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels/medical/m3.yaml"
exp_ext: "_NEW_ORDER_fix_overlap_gt_step_gt" # anything unique about this run that isn't already in ``exp_name``
exp_name: "${task}_${data_gen.data_type}_data_top_${data_gen.top_k_objects}_objs_feat_v${feature_version}_pose_rate_${data_gen.pose_repeat_rate}${data_gen.exp_ext}"
raw_data_root: /data/PTG/medical/bbn_data/Release_v0.5/v0.56
dive_output_root: /data/PTG/medical/activity_anns

filter_black_gloves: false
filter_blue_gloves: false
train_vid_ids: [1, 2, 4, 5, 6, 8, 9, 11, 12, 15, 16, 17, 19, 20, 21,
22, 23, 24, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40,
42, 44, 45, 48, 49, 51, 52, 53, 54]
val_vid_ids: [3, 7, 10, 18, 27, 32]
test_vid_ids: [50, 13, 47, 25]
names_black_gloves: [22,23,26,24,25,27,29,28,41,42,43,44,45,46,47,48,49,78,
79,84,88,90,80,81,82,83,85,86,87,89,91,99,110,111,121,113,115,116]
names_blue_gloves: [132,133,50,51,54,55,56,52,61,59,53,57,62,65,66,67,68,69,
58,60,63,64,125,126,127,129,131,134,135,136,128,130,137,
138,139]
train_vid_ids_bbn: [1, 2, 3, 4, 5, 6, 7, 8]
val_vid_ids_bbn: [9]
test_vid_ids_bbn: [10]



data:
num_classes: 6 # activities: includes background
batch_size: 512
num_workers: 0
num_workers: 16
epoch_length: 20000
window_size: 45
sample_rate: 1
window_size: 25
sample_rate: 2

all_transforms:
train_order: [] #["MoveCenterPts", "NormalizePixelPts"]
Expand All @@ -58,45 +91,19 @@ data:
feat_version: 6
num_obj_classes: 4 # not including background

data_gen:
reshuffle_datasets: true
augment: false
num_augs: 5
feat_type: "with_pose" #[no_pose, with_pose, only_hands_joints, only_objects_joints]
filter_black_gloves: false
filter_blue_gloves: false
train_vid_ids: [1, 2, 4, 5, 6, 8, 9, 11, 12, 14, 15, 16, 17, 19, 20, 21,
22, 23, 24, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40,
42, 43, 44, 45, 46, 48, 49, 51, 52, 53, 54]
val_vid_ids: [3, 7, 10, 18, 27, 32, 41]
test_vid_ids: [50, 13, 47, 25]
names_black_gloves: [22,23,26,24,25,27,29,28,41,42,43,44,45,46,47,48,49,78,
79,84,88,90,80,81,82,83,85,86,87,89,91,99,110,111,121,113,115,116]
names_blue_gloves: [132,133,50,51,54,55,56,52,61,59,53,57,62,65,66,67,68,69,
58,60,63,64,125,126,127,129,131,134,135,136,128,130,137,
138,139]

exp_name: ${data_gen.exp_name}_win_${data.window_size}_obj_sample_${data.sample_rate}

paths:
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_False_reshuffle_True" #[_v2_aug_False]
data_dir: "/data/PTG/TCN_data/m3/p_m3_feat_v6_with_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_feat_v6_no_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_feat_v6_no_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_False_reshuffle_False" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_False" #[_v2_aug_False]

# root_dir: "/data/PTG/medical/training/activity_classifier/TCN_HPL"
root_dir: "/data/users/peri.akiva/PTG/medical/training/activity_classifier/TCN_HPL"

# dataset_kwcoco: "/data/users/peri.akiva/datasets/ptg/m2_good_images_only_no_amputation_stump_train_activity_obj_results_with_dets_and_pose.mscoco.json"
# data_dir: "/data/PTG/TCN_data/m3/p_m3_feat_v6_with_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
data_dir: "/data/PTG/medical/training/activity_classifier/TCN_data/${task}/${data_gen.exp_name}"
root_dir: "/data/PTG/medical/training/activity_classifier/TCN_HPL/"
dataset_kwcoco: "/data/users/peri.akiva/datasets/ptg/m3_all_all_obj_results_with_dets_and_pose.mscoco.json"
activity_config_root: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels"
dataset_kwcoco_lab: /data/PTG/medical/coco/m3_lab_all_all_obj_results_with_dets_and_pose.mscoco.json
activity_config_root: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels/medical"
activity_config_fn: "${paths.activity_config_root}/${task}"
ptg_root: "/home/local/KHQ/peri.akiva/angel_system"
activity_config_path: "${paths.ptg_root}/config/activity_labels/medical"
output_data_dir_root: "/data/PTG/TCN_data"
# bbn_data_root: "{bbn_data_dir}/Release_v0.5/v0.56"
bbn_data_dir: "/data/PTG/medical/bbn_data"


Expand Down
77 changes: 48 additions & 29 deletions configs/experiment/m5/feat_v6.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,10 @@

# to execute this experiment run:
# python train.py experiment=example
topic: "medical"
task: "m5"
feature_version: 6

defaults:
- override /data: ptg
- override /model: ptg
Expand All @@ -14,12 +17,10 @@ defaults:
# all parameters below will be merged with parameters from default configurations set above
# this allows you to overwrite only specified parameters
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose" #[_v2_aug_False]
exp_name: "p_m5_feat_v6_with_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_False_reshuffle_False" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_True" #[_v2_aug_False]
# exp_name: "p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_False" #[_v2_aug_False]
# exp_name: "p_m5_feat_v6_with_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# exp_name: "p_m5_feat_v6_with_pose_v3_aug_False_reshuffle_True_lab"

tags: ["m5", "ms_tcn"]
tags: ["m5", "ms_tcn", "debug"]

seed: 12345

Expand All @@ -32,15 +33,47 @@ model:
compile: false

net:
dim: 188 # length of feature vector
dim: 246 # length of feature vector

IMAGE_HZ: 30 # zed bags
#IMAGE_HZ: 15 # BBN hololens live
OBJECT_DET_HZ: 15
POSE_HZ: 4


data_gen:
top_k_objects: 1
pose_repeat_rate: 7.5
data_type: "pro"
# feat_type: "with_pose" #[no_pose, with_pose, only_hands_joints, only_objects_joints]
dataset_kwcoco: "/data/users/peri.akiva/datasets/ptg/m5_all_all_obj_results_with_dets_and_pose.mscoco.json"

filter_black_gloves: false
filter_blue_gloves: false
train_vid_ids: [1, 2, 4, 5, 6, 8, 9, 11, 12, 16, 19, 20, 21,
22, 23, 24, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37,
42, 43, 44, 45, 46, 48, 49]
val_vid_ids: [3, 7, 10, 18, 27, 32, 41]
test_vid_ids: [50, 13, 47, 25]

train_vid_ids_bbn: [3, 4, 6, 7, 9, 11, 12, 13,
14, 16, 17, 18, 20, 21, 19, 22, 23]
val_vid_ids_bbn: [1, 5, 10]
test_vid_ids_bbn: [2, 8]

activity_config_fn: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels/medical/m5.yaml"
exp_ext: "_NEW_ORDER_fix_overlap_gt_step_GT_corrected" # anything unique about this run that isn't already in ``exp_name``
exp_name: "${task}_${data_gen.data_type}_data_top_${data_gen.top_k_objects}_objs_feat_v${feature_version}_pose_rate_${data_gen.pose_repeat_rate}${data_gen.exp_ext}"
raw_data_root: /data/PTG/medical/bbn_data/Release_v0.5/v0.56
dive_output_root: /data/PTG/medical/activity_anns

data:
num_classes: 6 # activities: includes background
batch_size: 512
num_workers: 0
num_workers: 12
epoch_length: 20000
window_size: 30
sample_rate: 1
window_size: 25
sample_rate: 2


all_transforms:
Expand All @@ -55,29 +88,15 @@ data:
feat_version: 6
num_obj_classes: 6 # not including background


data_gen:
reshuffle_datasets: true
augment: false
num_augs: 5
feat_type: "with_pose" #[no_pose, with_pose, only_hands_joints, only_objects_joints]
filter_black_gloves: false
filter_blue_gloves: false
train_vid_ids: [1, 2, 4, 5, 6, 8, 9, 11, 12, 14, 15, 16, 17, 19, 20, 21,
22, 23, 24, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40,
42, 43, 44, 45, 46, 48, 49]
val_vid_ids: [3, 7, 10, 18, 27, 32, 41]
test_vid_ids: [50, 13, 47, 25]
exp_name: ${data_gen.exp_name}_win_${data.window_size}_obj_sample_${data.sample_rate}

paths:
data_dir: "/data/PTG/TCN_data/m5/p_m5_feat_v6_with_pose_v3_aug_False_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_False_reshuffle_False" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_True" #[_v2_aug_False]
# data_dir: "/data/PTG/TCN_data/m2/p_m2_tqt_data_test_feat_v6_with_pose_v2_aug_True_reshuffle_False" #[_v2_aug_False]
# root_dir: "/data/PTG/medical/training/activity_classifier/TCN_HPL"
root_dir: "/data/users/peri.akiva/PTG/medical/training/activity_classifier/TCN_HPL"
data_dir: "/data/PTG/medical/training/activity_classifier/TCN_data/${task}/${data_gen.exp_name}"
root_dir: "/data/PTG/medical/training/activity_classifier/TCN_HPL/"

dataset_kwcoco: "/data/users/peri.akiva/datasets/ptg/m5_all_all_obj_results_with_dets_and_pose.mscoco.json"
activity_config_root: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels"
dataset_kwcoco_lab: "/data/users/peri.akiva/datasets/ptg/m5_lab_all_all_obj_results_with_dets_and_pose.mscoco.json"
activity_config_root: "/home/local/KHQ/peri.akiva/projects/angel_system/config/activity_labels/medical"
activity_config_fn: "${paths.activity_config_root}/${task}"
ptg_root: "/home/local/KHQ/peri.akiva/angel_system"
activity_config_path: "${paths.ptg_root}/config/activity_labels/medical"
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