Do you know why the model doesn’t work for JFIF standard jpg images while it works for EXIF standard jpg images? and could you please guide how to fix it?
(phosa) [jalal@goku phosa]$ python demo.py --filename input/occluded_bat.jpg --class_name bat
2021-03-31 16:29:06,904 INFO Calling with args: Namespace(class_name='bat', filename='input/occluded_bat.jpg', lw_collision=None, lw_depth=None, lw_inter=None, lw_inter_part=None, lw_scale=None, lw_scale_person=None, lw_sil=None, mesh_index=0, output_dir='output')
2021-03-31 16:29:09,696 INFO Loading checkpoint from detectron2://PointRend/InstanceSegmentation/pointrend_rcnn_R_50_FPN_3x_coco/164955410/model_final_3c3198.pkl
2021-03-31 16:29:09,749 INFO URL https://dl.fbaipublicfiles.com/detectron2/PointRend/InstanceSegmentation/pointrend_rcnn_R_50_FPN_3x_coco/164955410/model_final_3c3198.pkl cached in /home/grad3/jalal/.torch/fvcore_cache/detectron2/PointRend/InstanceSegmentation/pointrend_rcnn_R_50_FPN_3x_coco/164955410/model_final_3c3198.pkl
2021-03-31 16:29:12,002 INFO Reading a file from 'Detectron2 Model Zoo'
WARNING: You are using a SMPL model, with only 10 shape coefficients.
class_name: bat
Traceback (most recent call last):
File "demo.py", line 145, in <module>
main(get_args())
File "demo.py", line 120, in main
object_parameters = find_optimal_poses(
File "/scratch3/research/code/phosa/phosa/pose_optimization.py", line 426, in find_optimal_poses
object_parameters[k] = torch.stack(v)
RuntimeError: stack expects a non-empty TensorList
vs EXIF
(phosa) [jalal@goku phosa]$ python demo.py --filename input/bat_sidehold.jpg --class_name bat
2021-03-31 16:30:33,675 INFO Calling with args: Namespace(class_name='bat', filename='input/bat_sidehold.jpg', lw_collision=None, lw_depth=None, lw_inter=None, lw_inter_part=None, lw_scale=None, lw_scale_person=None, lw_sil=None, mesh_index=0, output_dir='output')
2021-03-31 16:30:36,496 INFO Loading checkpoint from detectron2://PointRend/InstanceSegmentation/pointrend_rcnn_R_50_FPN_3x_coco/164955410/model_final_3c3198.pkl
2021-03-31 16:30:36,503 INFO URL https://dl.fbaipublicfiles.com/detectron2/PointRend/InstanceSegmentation/pointrend_rcnn_R_50_FPN_3x_coco/164955410/model_final_3c3198.pkl cached in /home/grad3/jalal/.torch/fvcore_cache/detectron2/PointRend/InstanceSegmentation/pointrend_rcnn_R_50_FPN_3x_coco/164955410/model_final_3c3198.pkl
2021-03-31 16:30:36,637 INFO Reading a file from 'Detectron2 Model Zoo'
WARNING: You are using a SMPL model, with only 10 shape coefficients.
class_name: bat
0%| | 0/200.0 [00:00<?, ?it/s]PoseOptimizer(
(pool): MaxPool2d(kernel_size=7, stride=1, padding=3, dilation=1, ceil_mode=False)
(renderer): Renderer()
)
loss: 1.74e+03: 25%|██████████████████▊ | 50/200.0 [00:25<01:14, 2.02it/s]PoseOptimizer(
(pool): MaxPool2d(kernel_size=7, stride=1, padding=3, dilation=1, ceil_mode=False)
(renderer): Renderer()
)
loss: 1.67e+03: 50%|█████████████████████████████████████ | 100/200.0 [00:52<00:53, 1.86it/s]PoseOptimizer(
(pool): MaxPool2d(kernel_size=7, stride=1, padding=3, dilation=1, ceil_mode=False)
(renderer): Renderer()
)
loss: 1.67e+03: 75%|███████████████████████████████████████████████████████▌ | 150/200.0 [01:19<00:25, 1.95it/s]PoseOptimizer(
(pool): MaxPool2d(kernel_size=7, stride=1, padding=3, dilation=1, ceil_mode=False)
(renderer): Renderer()
)
loss: 1.67e+03: 100%|██████████████████████████████████████████████████████████████████████████| 200/200.0 [01:45<00:00, 1.90it/s]
Loss 17.7909: 100%|██████████████████████████████████████████████████████████████████████████████| 400/400 [02:32<00:00, 2.62it/s]
2021-03-31 16:34:55,988 INFO Saved rendered image to output/bat_sidehold.jpg.
2021-03-31 16:34:56,010 INFO Saved top-down image to output/bat_sidehold_top.jpg.
image metadata:
(phosa) [jalal@goku phosa]$ file input/occluded_bat.jpg
input/occluded_bat.jpg: JPEG image data, JFIF standard 1.01
(phosa) [jalal@goku phosa]$ file input/bat_sidehold.jpg
input/bat_sidehold.jpg: JPEG image data, EXIF standard
(phosa) [jalal@goku phosa]$ identify input/occluded_bat.jpg
input/occluded_bat.jpg JPEG 1440x810 1440x810+0+0 8-bit sRGB 242255B 0.000u 0:00.000
(phosa) [jalal@goku phosa]$ identify input/bat_sidehold.jpg
input/bat_sidehold.jpg JPEG 1156x1600 1156x1600+0+0 8-bit sRGB 96559B 0.000u 0:00.007
As a followup, do you know how I can convert JFIF standard jpg images to EXIF standard jpg images in Linux? Somehow the majority of images I download from the Web end up being JFIF standard jpg.