data_pipeline/generate_videos.py:
Add --image arg -> when set, forwards to VideoGenerator.generate_video
via image_path=... so the same script can drive either T2V or I2V. Used
to generate the shared-first-frame synthetic-toy overfit dataset from a
single seed image.
examples/inference/gradio/trackwan/app_action.py:
Bring the interactive drawing app in line with the training-time val
recipe: joint text+motion CFG (MotionStream Eq. 2) with w_text and
w_motion sliders + a mode radio (joint / text_only / no_track).
`on_generate` now branches on mode instead of the old bare single
forward, and text_only / no_track let the user compare against the
same counterfactuals the val callback logs.
data_pipeline/sparse_sampling_dashboard.py:
New interactive dashboard for eyeballing the sparse recipe
(1 track per SAM object + num_sampled background extras). Overlays
the FastSAM segmentation on frame 0 in the same tab20 palette used
for the tracked points, so mask/point correspondence is visible at a
glance. Sliders for num_sampled, random-vs-weighted extras mode, and
seed; a button to render the full kept-tracks overlay video.
shaoxiongduan
4d0571eabf