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Bugfixes in render_flyaround

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Summary: Fixes bugs in render_flyaround

Reviewed By: bottler

Differential Revision: D39271932

fbshipit-source-id: 07e6c9ee07ba91feb437b725af0a8942fd98db0b
This commit is contained in:
David Novotny 2022-09-06 05:45:31 -07:00 committed by Facebook GitHub Bot
parent c79c954dea
commit f6d43eaa62
2 changed files with 38 additions and 30 deletions
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9
pytorch3d/implicitron/models/visualization/render_flyaround.py
View File

@ -190,6 +190,7 @@ def render_flyaround(
sequence_name=batch.sequence_name[0],
viz=viz,
viz_env=visdom_environment,
predicted_keys=visualize_preds_keys,
)
logger.info(f"Exporting videos for sequence {sequence_name} ...")
@ -202,6 +203,7 @@ def render_flyaround(
video_path=output_video_path,
resize=video_resize,
video_frames_dir=output_video_frames_dir,
predicted_keys=visualize_preds_keys,
)
@ -338,10 +340,15 @@ def _generate_prediction_videos(
# init a video writer for each predicted key
vws = {}
for k in predicted_keys:
cache_dir = (
None
if video_frames_dir is None
else os.path.join(video_frames_dir, f"{sequence_name}_{k}")
)
vws[k] = VideoWriter(
fps=fps,
out_path=f"{video_path}_{sequence_name}_{k}.mp4",
cache_dir=os.path.join(video_frames_dir, f"{sequence_name}_{k}"),
cache_dir=cache_dir,
)
for rendered_pred in tqdm(preds):

59
tests/implicitron/test_model_visualize.py
View File

@ -80,35 +80,36 @@ class TestModelVisualize(unittest.TestCase):
os.makedirs(output_dir, exist_ok=True)
render_flyaround(
train_dataset,
show_sequence_name,
model,
video_path,
n_flyaround_poses=40,
fps=20,
max_angle=2 * math.pi,
trajectory_type="circular_lsq_fit",
trajectory_scale=1.1,
scene_center=(0.0, 0.0, 0.0),
up=(0.0, 1.0, 0.0),
traj_offset=1.0,
n_source_views=1,
visdom_show_preds=visdom_show_preds,
visdom_environment="test_model_visalize",
visdom_server="http://127.0.0.1",
visdom_port=8097,
num_workers=10,
seed=None,
video_resize=None,
visualize_preds_keys=[
"images_render",
"depths_render",
"masks_render",
"_all_source_images",
],
output_video_frames_dir=video_path,
)
for output_video_frames_dir in [None, video_path]:
render_flyaround(
train_dataset,
show_sequence_name,
model,
video_path,
n_flyaround_poses=10,
fps=5,
max_angle=2 * math.pi,
trajectory_type="circular_lsq_fit",
trajectory_scale=1.1,
scene_center=(0.0, 0.0, 0.0),
up=(0.0, 1.0, 0.0),
traj_offset=1.0,
n_source_views=1,
visdom_show_preds=visdom_show_preds,
visdom_environment="test_model_visalize",
visdom_server="http://127.0.0.1",
visdom_port=8097,
num_workers=10,
seed=None,
video_resize=None,
visualize_preds_keys=[
"images_render",
"depths_render",
"masks_render",
"_all_source_images",
],
output_video_frames_dir=output_video_frames_dir,
)
class _PointcloudRenderingModel(torch.nn.Module):