run on my own data

[zhywanna]

Hello, I tried your great work on my own video record by phone. But I failed on the following colmap's command
colmap mapper \ --database_path $DATASET_PATH/database.db \ --image_path $DATASET_PATH/images_colmap \ --output_path $DATASET_PATH/sparse \ --Mapper.num_threads 16 \ --Mapper.init_min_tri_angle 4 \ --Mapper.multiple_models 0 \ --Mapper.extract_colors 0
like this

firstly, I have some difficult to understand what does these Mapper.init_min_tri_angle Mapper.multiple_models Mapper.extract_colors mean? And what's your purpose to alter those parameters rather than using default ?
Secondly, I removed the last 4 parameters, things go well and successfully got my camera.bin. I wonder how those affect the result. And I'm worry about by remove the last 4 parameters Mapper.num_threads Mapper.init_min_tri_angle Mapper.multiple_models Mapper.extract_colors, whether the extrinsic camera poses I get are still accurate or not ？

Hoping for your reply, thanks!

[gaochen315]

Hi @zhywanna,

Sorry for my late reply. I adapted these parameters from LLFF. I am not sure about num_threads, init_min_tri_angle and extract_colors , but I think it is quite important to set multiple_models to 0. Can you use COLMAP to visualize the sparse reconstuction? Does it make sense?

[zhywanna]

The colmap reconstruction result and the video generated look really poor, It seems difficult to get the accurate pose from the moving object. I changed my experiment yet :(