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Still cannot reproduce the result after changing the img_norm_cfg #68

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kjkimnb opened this issue Jun 26, 2024 · 4 comments
Open

Still cannot reproduce the result after changing the img_norm_cfg #68

kjkimnb opened this issue Jun 26, 2024 · 4 comments

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@kjkimnb
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kjkimnb commented Jun 26, 2024

img_v3_02c7_987eda12-8005-42c5-be35-a17b0012590g
I have changed the img_norm_cfg in VAD_base_stage_2.py, and download the VAD_base.pth offered in your page. Then, I use the test command:
CUDA_VISIBLE_DEVICES=0 python tools/test.py projects/configs/VAD/VAD_base_stage_2.py ./ckpts/VAD_base.pth --launcher none --eval bbox --tmpdir tmp
But I Still cannot reproduce the result
img_v3_02c7_69bf3bc1-74c4-4387-b48b-f5c2800890ag

@kjkimnb kjkimnb changed the title Still cannot reproduce the result after change the img_norm_cfg Still cannot reproduce the result after changing the img_norm_cfg Jun 26, 2024
@MRYUjg
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MRYUjg commented Aug 19, 2024

Pls have you solved it?

@whhyda
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whhyda commented Aug 20, 2024

@MRYUjg You can try to change the img_norm_cfg in VAD_tiny_e2e.py, and my results are similar

@MRYUjg
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MRYUjg commented Aug 26, 2024

@whhyda T tried to change the img_norm_cfg in VAD_tiny_e2e.py, bus my results stuill bad;
CUDA_VISIBLE_DEVICES=0 python tools/test.py projects/configs/VAD/VAD_tiny_e2e.py ckpts/VAD_tiny.pth --launcher none --eval bbox --tmpdir tmp
img_norm_cfg = dict( mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False)
`------------- Motion Prediction --------------
EPA_car: 0.6403061224489796
EPA_pedestrian: 0.44745575221238937
ADE_car: 0.6471808552742004
ADE_pedestrian: 0.7423169016838074
FDE_car: 0.843453049659729
FDE_pedestrian: 0.8746829628944397
MR_car: 0.10041265474552957
MR_pedestrian: 0.0777988614800759

-------------- Planning --------------
gt_car:7.101449275362318
gt_pedestrian:6.550724637681159
cnt_ade_car:5.615942028985507
cnt_ade_pedestrian:4.22463768115942
cnt_fde_car:5.268115942028985
cnt_fde_pedestrian:3.818840579710145
hit_car:4.739130434782608
hit_pedestrian:3.5217391304347827
fp_car:0.2971014492753623
fp_pedestrian:1.1594202898550725
ADE_car:3.7680349349975586
ADE_pedestrian:3.1584718227386475
FDE_car:4.443408489227295
FDE_pedestrian:3.3402748107910156
MR_car:0.5289855072463768
MR_pedestrian:0.2971014492753623
plan_L2_1s:0.40457220504912833
plan_L2_2s:0.6373244035884441
plan_L2_3s:0.9129885829735439
plan_obj_col_1s:0.0
plan_obj_col_2s:0.0
plan_obj_col_3s:0.0
plan_obj_box_col_1s:0.0
plan_obj_box_col_2s:0.0
plan_obj_box_col_3s:0.0
fut_valid_flag:1.0`

@kjkimnb
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kjkimnb commented Aug 26, 2024

I have solved the problem by changing the annotation file.
When I directly download the file from google drive, the problem sovled.
So, there is someting wrong in "generating by yourself" .

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