inference/v2v_data/config_help.md

Important configuration for inference.py:

1. General configs

Configuration	Default Value	Explanation
--video_path	None	Input video file path
--out_dir	./experiments/	Output directory
--device	cuda:0	The device to use (e.g., CPU or GPU)
--exp_name	None	Experiment name, defaults to video file name
--seed	43	Random seed for reproducibility
--video_length	49	Length of the video frames (number of frames)
--fps	10	fps for saved video
--stride	1	Sampling stride for input video (frame interval)
--server_name	None	Server IP address for gradio

2. Point cloud render configs

Configuration	Default Value	Explanation
--radius_scale	1.0	Scale factor for the spherical radius
--camera	traj	Camera pose type, either 'traj' or 'target'
--mode	gradual	Mode of operation, 'gradual', 'bullet', or 'direct'
--mask	False	Clean the point cloud data if true
--target_pose	None	Required for 'target' camera pose type, specifies target camera poses (theta, phi, r, x, y). The initial camera is at (0,0,radius,0,0), +theta (theta<60) rotates camera upward, +phi (phi<60) rotates camera to right, +r (r<0.6) moves camera forward, +x (x<4) pans the camera to right, +y (y<4) pans the camera upward
--traj_txt	None	Required for 'traj' camera pose type, a txt file specifying a complex camera trajectory (examples). The fist line is the theta sequence, the second line the phi sequence, and the last line the r sequence. Our script will interpolate each of them into lists of length 49, producing theta_list, phi_list, r_list. The initial camera is at (0,0,radius), then move to (theta_list[0], phi_list[0], r_list[0]), finally (theta_list[-1], phi_list[-1], r_list[-1])
--near	0.0001	Near clipping plane distance
--far	10000.0	Far clipping plane distance
--anchor_idx	0	One GT frame for anchor frame