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feat(ml): inference_vid with canny #696

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feat(ml): inference_vid with canny #696

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0ca63af
feat(ml): debug inference_vid for canny
wr0124 Sep 18, 2024
3e6738e
feat(ml): debug for canny inference
wr0124 Sep 20, 2024
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13 changes: 11 additions & 2 deletions scripts/gen_vid_diffusion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -275,6 +275,8 @@ def generate(
bbox_select_list = []
img_tensor_list = []
out_img_list = []
sequence_count = 0
select_canny_list = [1] + [0] * (opt.data_temporal_number_frames - 1)
for img_path, bbox_path in zip(limited_paths_img, limited_paths_bbox):
img_in = os.path.join(os.path.dirname(os.path.dirname(paths_in_file)), img_path)
bbox_in = os.path.join(
Expand Down Expand Up @@ -599,7 +601,7 @@ def generate(
cond_image = fill_img_with_sketch(
img_tensor.unsqueeze(0), mask.unsqueeze(0)
)
elif opt.alg_diffusion_cond_image_creation == "canny":
elif opt.alg_diffusion_cond_image_creation == "computed_sketch": # "canny":
clamp = torch.clamp(mask, 0, 1)
if cond_in:
# mask the background to avoid canny edges around cond image
Expand All @@ -613,6 +615,7 @@ def generate(
high_threshold=alg_diffusion_sketch_canny_thresholds[1],
low_threshold_random=-1,
high_threshold_random=-1,
select_canny=[select_canny_list[sequence_count]],
)
if cond_in:
# restore background
Expand Down Expand Up @@ -683,8 +686,14 @@ def generate(
else:
ref_tensor = None

if opt.alg_diffusion_cond_image_creation in ["computed_sketch", "y_t"]:
if sequence_count == 0:
y_t_list.append(y_t)
else:
y_t_list.append(y_t_list[0])

sequence_count = sequence_count + 1
cond_image_list.append(cond_image)
y_t_list.append(y_t)
y0_tensor_list.append(y0_tensor)
mask_list.append(mask)
bbox_select_list.append(bbox_select)
Expand Down
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