changfali

Got that problem,too. Do you have some ideas? @Torreto666 @eshuka @tomguluson92

有人解决了吗

Hi, I used colmap to get cam_dict_norm.json. The results in exp_iron_stage1/ours/validations_fine/ are good( after 30000 iters)  , but results in exp_iron_stage1/ours/normals are not good( after 30000 iters):  Could...

Hi Kai, I used the code "run_colmap.py" in Nerf++ to produce the cam_dict_norm.json, but the result is also bad, even for your dataset. I used all images in train and...

Hi @Kai-46 , Thanks for the reply! I know that colmap SfM outputs camera parameters as well as a sparse point cloud, and we can visualize the point cloud together...

Hi, here are some others results: cameras (xmen/posed_images/kai_cameras_normalized.json) and colmap MVS result mesh (xmen/mvs/meshed_trim_3.ply with normalization using https://github.com/Kai-46/nerfplusplus/blob/ebf2f3e75fd6c5dfc8c9d0b533800daaf17bd95f/colmap_runner/extract_sfm.py#L107):    you can see the face part is not right,...

> * Hi, I can try to share you a script later this week. But if you'd like to figure things out yourself, here are the steps you need starting...

Hi, thanks for the script!! In my understanding, the normalization for both cameras and the point cloud is to put them into a unit sphere( Is this right?). This is...