From 097083079cc11104ad9ef99f2d6a187da4159253 Mon Sep 17 00:00:00 2001 From: Tom Byrer Date: Thu, 13 Jan 2022 23:16:14 -0600 Subject: [PATCH 01/17] + 2 minute papers link FYI --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 89f0b5cc..95ff3726 100644 --- a/README.md +++ b/README.md @@ -8,6 +8,8 @@ Website and video: arXiv: +[Featured at Two Minute Papers YouTube](https://youtu.be/yptwRRpPEBM) 2022-01-11 + **Note:** This is a preliminary release. We have not carefully tested everything, but feel that it would be better to first put the code out there. From 188213e6e50dd7e3f57444055db165b0fc31c6af Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Thu, 9 Jun 2022 23:13:26 -0700 Subject: [PATCH 02/17] Updated old bibtex --- README.md | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 89f0b5cc..5f641822 100644 --- a/README.md +++ b/README.md @@ -16,15 +16,14 @@ Also, despite the name, it's not strictly intended to be a successor of svox Citation: ``` -@misc{yu2021plenoxels, +@inproceedings{yu2021plenoxels, title={Plenoxels: Radiance Fields without Neural Networks}, - author={{Alex Yu and Sara Fridovich-Keil} and Matthew Tancik and Qinhong Chen and Benjamin Recht and Angjoo Kanazawa}, - year={2021}, - eprint={2112.05131}, - archivePrefix={arXiv}, - primaryClass={cs.CV} + author={Sara Fridovich-Keil and Alex Yu and Matthew Tancik and Qinhong Chen and Benjamin Recht and Angjoo Kanazawa}, + year={2022}, + booktitle={CVPR}, } ``` +Note that the joint first-authors decided to swap the order of names between arXiv and CVPR proceedings. This contains the official optimization code. A JAX implementation is also available at . However, note that the JAX version is currently feature-limited, running in about 1 hour per epoch and only supporting bounded scenes (at present). From 07f41aea51f88380d2e492fb4b7c7099afc1e81f Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Thu, 9 Jun 2022 23:13:45 -0700 Subject: [PATCH 03/17] Fixed year number --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5f641822..508bf855 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ Also, despite the name, it's not strictly intended to be a successor of svox Citation: ``` -@inproceedings{yu2021plenoxels, +@inproceedings{yu2022plenoxels, title={Plenoxels: Radiance Fields without Neural Networks}, author={Sara Fridovich-Keil and Alex Yu and Matthew Tancik and Qinhong Chen and Benjamin Recht and Angjoo Kanazawa}, year={2022}, From a8cfd0e8fdd6cdc8f6a8b5b3c18cc52a0fb60c0f Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sat, 14 Jan 2023 21:22:16 -0800 Subject: [PATCH 04/17] WIP --- README.md | 15 +++++++++++++-- opt/scripts/run_colmap.py | 5 ++++- opt/util/nsvf_dataset.py | 20 ++++++++++++++------ 3 files changed, 31 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 508bf855..35735f0b 100644 --- a/README.md +++ b/README.md @@ -139,6 +139,11 @@ normal perspective camera. For custom datasets we adopt a data format similar to that in NSVF +**Update:** I found that the original release which uses colmap's undistorter made custom scene results much worse. There might be some issue here, but the current version does not use the undistorter. +Supporting a full OPENCV camera model should be fairly easy, as done in nerfstudio and multi-nerf +https://github.com/google-research/multinerf/blob/1c8b1c552133cdb2de1c1f3c871b2813f6662265/internal/camera_utils.py#L477 + + You should be able to use this dataset directly afterwards. The format will be auto-detected. To view the data use: @@ -151,17 +156,23 @@ Now follow the "Voxel Optimization (aka Training)" section to train: `./launch.sh -c configs/custom.json` -You can also try `configs/custom_alt.json` which has some minor differences. +custom.json was used for the real lego bulldozer scene. +You can also try `configs/custom_alt.json` which has some minor differences **especially that near_clip is eliminated**. If the scene's central object is totally messed up, this might be due to the aggressive near clip, and the alt config fixes it. You may need to tune the TV for best results. + To render a video, please see the "rendering a spiral" section. To convert to a svox1-compatible PlenOctree (not perfect quality since interpolation is not implemented) you can try `to_svox1.py ` +### Recent updates + +- Removed COLMAP undistorter since it is very unhelpful (using SIMPLE_PINHOLE for simplicity, could easily use OPENCV camera instead) +- Updated the camera normalization + ## Random tip: how to make pip install faster for native extensions You may notice that this CUDA extension takes forever to install. A suggestion is using ninja. On Ubuntu, install it with `sudo apt install ninja-build`. -Then set the environment variable `MAX_JOBS` to the number of CPUS to use in parallel (e.g. 12) in your shell startup script. This will enable parallel compilation and significantly improve iteration speed. diff --git a/opt/scripts/run_colmap.py b/opt/scripts/run_colmap.py index 13739765..aad070f6 100644 --- a/opt/scripts/run_colmap.py +++ b/opt/scripts/run_colmap.py @@ -259,6 +259,9 @@ def run_colmap(vid_root, args, factor, overwrite=False): os.system(mapper_cmd) if not args.noradial: + print("Warning: I've found the undistorter to work very poorly, substantially reducing quality.") + print("A potential (fairly easy) improvement is to support OPENCV camera model in the codebase, " + "and without doing undistorting.") undist_dir = os.path.join(vid_root, args.undistorted_output) if not os.path.exists(undist_dir) or overwrite: os.makedirs(undist_dir, exist_ok=True) @@ -387,7 +390,7 @@ def preprocess(vid_root, args): parser.add_argument('--known-intrin', action='store_true', default=False, help='use intrinsics in /intrinsics.txt if available') parser.add_argument('--fix-intrin', action='store_true', default=False, help='fix intrinsics in bundle adjustment, only used if --known-intrin is given and intrinsics.txt exists') parser.add_argument('--debug', action='store_true', default=False, help='render debug video') - parser.add_argument('--noradial', action='store_true', default=False, help='do not use radial distortion') + parser.add_argument('--noradial', action='store_true', default=True, help='do not use radial distortion') parser.add_argument('--use-masks', action='store_true', default=False, help='use automatic masks') parser.add_argument( '--images-resized', default='images_resized', help='location for resized/renamed images') diff --git a/opt/util/nsvf_dataset.py b/opt/util/nsvf_dataset.py index 1e3c2f8a..d18c260f 100644 --- a/opt/util/nsvf_dataset.py +++ b/opt/util/nsvf_dataset.py @@ -82,20 +82,28 @@ def look_for_dir(cands, required=True): img_dir_name = look_for_dir(["images", "image", "rgb"]) pose_dir_name = look_for_dir(["poses", "pose"]) # intrin_dir_name = look_for_dir(["intrin"], required=False) - img_files = sorted(os.listdir(path.join(root, img_dir_name)), key=sort_key) + orig_img_files = sorted(os.listdir(path.join(root, img_dir_name)), key=sort_key) # Select subset of files if self.split == "train" or self.split == "test_train": - img_files = [x for x in img_files if x.startswith("0_")] + img_files = [x for x in orig_img_files if x.startswith("0_")] elif self.split == "val": - img_files = [x for x in img_files if x.startswith("1_")] + img_files = [x for x in orig_img_files if x.startswith("1_")] elif self.split == "test": - test_img_files = [x for x in img_files if x.startswith("2_")] + test_img_files = [x for x in orig_img_files if x.startswith("2_")] if len(test_img_files) == 0: - test_img_files = [x for x in img_files if x.startswith("1_")] + test_img_files = [x for x in orig_img_files if x.startswith("1_")] img_files = test_img_files + else: + img_files = orig_img_files + + if len(img_files) == 0: + if self.split == "train": + img_files = [x for i, x in enumerate(orig_img_files) if i % 16 != 0] + else: + img_files = orig_img_files[::16] - assert len(img_files) > 0, "No matching images in directory: " + path.join(data_dir, img_dir_name) + assert len(img_files) > 0, "No matching images in directory: " + path.join(root, img_dir_name) self.img_files = img_files dynamic_resize = scale < 1 From 4948c928000d1a57f176656230f651523be7b778 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sat, 14 Jan 2023 22:10:17 -0800 Subject: [PATCH 05/17] Links --- README.md | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0036bf14..089801bf 100644 --- a/README.md +++ b/README.md @@ -34,6 +34,12 @@ A JAX implementation is also available at ` +`bash proc_colmap.sh --noradial` Where `` should be a directory directly containing png/jpg images from a normal perspective camera. +UPDATE: `--noradial` is recommended since otherwise, the script performs undistortion, which seems to not work well and make results blurry. For custom datasets we adopt a data format similar to that in NSVF @@ -154,7 +161,7 @@ Now follow the "Voxel Optimization (aka Training)" section to train: `./launch.sh -c configs/custom.json` You can also try `configs/custom_alt.json` which has some minor differences. -You may need to tune the TV for best results. +You may need to tune the TV and sparsity loss for best results. To render a video, please see the "rendering a spiral" section. To convert to a svox1-compatible PlenOctree (not perfect quality since interpolation is not implemented) From 9fab2776c989ce2fde35d4b196740b52cea0cec3 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 09:55:45 -0800 Subject: [PATCH 06/17] Update README and fix bug --- README.md | 14 ++++++++------ svox2/csrc/render_lerp_kernel_cuvol.cu | 13 +++++++------ 2 files changed, 15 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index c5c2f92e..56e15126 100644 --- a/README.md +++ b/README.md @@ -10,11 +10,7 @@ arXiv: [Featured at Two Minute Papers YouTube](https://youtu.be/yptwRRpPEBM) 2022-01-11 -**Note:** This is a preliminary release. We have not carefully tested everything, -but feel that it would be better to first put the code out there. - -Also, despite the name, it's not strictly intended to be a successor of svox - +Despite the name, it's not strictly intended to be a successor of svox Citation: ``` @@ -34,7 +30,10 @@ A JAX implementation is also available at ray.tmax) { + if (accum_out != nullptr) { *accum_out = accum; } + if (log_transmit_out != nullptr) { *log_transmit_out = 0.f; } + // printf("accum_end_fg_fast=%f\n", accum); + return; + } + if (beta_loss > 0.f) { const float transmit_in = _EXP(log_transmit_in); beta_loss *= (1 - transmit_in / (1 - transmit_in + 1e-3)); // d beta_loss / d log_transmit_in @@ -256,12 +263,6 @@ __device__ __inline__ void trace_ray_cuvol_backward( // Interesting how this loss turns out, kinda nice? } - if (ray.tmin > ray.tmax) { - if (accum_out != nullptr) { *accum_out = accum; } - if (log_transmit_out != nullptr) { *log_transmit_out = 0.f; } - // printf("accum_end_fg_fast=%f\n", accum); - return; - } float t = ray.tmin; const float gout = grad_output[lane_colorgrp]; From c57f556d169038d82622a98826c97a58a567b842 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 10:13:27 -0800 Subject: [PATCH 07/17] INGP data converter --- README.md | 6 ++ opt/scripts/ingp2nsvf.py | 141 +++++++++++++++++++++++++++++++++++++++ opt/util/nerf_dataset.py | 4 ++ 3 files changed, 151 insertions(+) create mode 100644 opt/scripts/ingp2nsvf.py diff --git a/README.md b/README.md index 56e15126..d7aada9f 100644 --- a/README.md +++ b/README.md @@ -78,6 +78,12 @@ https://drive.google.com/file/d/1PG-KllCv4vSRPO7n5lpBjyTjlUyT8Nag/view?usp=shari **Note: we currently do not support the instant-ngp format data (since the project was released before NGP). Using it will trigger the nerf-synthetic (Blender) data loader due to similarity, but will not train properly. For real data we use the NSVF format.** +To help convert instant-ngp data, please try +``` +cd opt/scripts +python ingp2nsvf.py +``` + ## Voxel Optimization (aka Training) For training a single scene, see `opt/opt.py`. The launch script makes this easier. diff --git a/opt/scripts/ingp2nsvf.py b/opt/scripts/ingp2nsvf.py new file mode 100644 index 00000000..1833970c --- /dev/null +++ b/opt/scripts/ingp2nsvf.py @@ -0,0 +1,141 @@ +""" +Convert NeRF-iNGP data to NSVF +python ingp2nsvf.py +""" +import os +import shutil +from glob import glob +import json + +import numpy as np +from PIL import Image +import argparse + +def convert(data_dir : str, out_data_dir : str): + """ + Convert Instant-NGP (modified NeRF) data to NSVF + + :param data_dir: the dataset dir (NeRF-NGP format) to convert + :param out_data_dir: output dataset directory NSVF + """ + + images_dir_name = os.path.join(out_data_dir, "images") + pose_dir_name = os.path.join(out_data_dir, "pose") + + os.makedirs(images_dir_name, exist_ok=True) + os.makedirs(pose_dir_name, exist_ok=True) + + def get_subdir(name): + if name.endswith("_train.json"): + return "train" + elif name.endswith("_val.json"): + return "val" + elif name.endswith("_test.json"): + return "test" + return "" + + def get_out_prefix(name): + if name.endswith("_train.json"): + return "0_" + elif name.endswith("_val.json"): + return "1_" + elif name.endswith("_test.json"): + return "2_" + return "" + + jsons = { + x: (get_subdir(x), get_out_prefix(x)) + for x in glob(os.path.join(data_dir, "*.json")) + } + + # OpenGL -> OpenCV + cam_trans = np.diag(np.array([1.0, -1.0, -1.0, 1.0])) + + # fmt: off + world_trans = np.array( + [ + [0.0, -1.0, 0.0, 0.0], + [0.0, 0.0, -1.0, 0.0], + [1.0, 0.0, 0.0, 0.0], + [0.0, 0.0, 0.0, 1.0], + ] + ) + # fmt: on + + assert len(jsons) > 0, f"No jsons found in {data_dir}, can't convert" + cnt = 0 + + example_fpath = None + tj = {} + for tj_path, (tj_subdir, tj_out_prefix) in jsons.items(): + with open(tj_path, "r") as f: + tj = json.load(f) + if "frames" not in tj: + print(f"No frames in json {tj_path}, skipping") + continue + + for frame in tj["frames"]: + # Try direct relative path (used in newer NGP datasets) + fpath = os.path.join(data_dir, frame["file_path"]) + if not os.path.isfile(fpath): + # Legacy path (NeRF) + fpath = os.path.join( + data_dir, tj_subdir, os.path.basename(frame["file_path"]) + ".png" + ) + example_fpath = fpath + if not os.path.isfile(fpath): + print("Could not find image:", frame["file_path"], "(this may be ok)") + continue + + ext = os.path.splitext(fpath)[1] + + c2w = np.array(frame["transform_matrix"]) + c2w = world_trans @ c2w @ cam_trans # To OpenCV + + image_fname = tj_out_prefix + f"{cnt:05d}" + + pose_path = os.path.join(pose_dir_name, image_fname + ".txt") + + # Save 4x4 OpenCV C2W pose + np.savetxt(pose_path, c2w) + + # Copy images + new_fpath = os.path.join(images_dir_name, image_fname + ext) + shutil.copyfile(fpath, new_fpath) + cnt += 1 + + assert len(tj) > 0, f"No valid jsons found in {data_dir}, can't convert" + + w = tj.get("w") + h = tj.get("h") + + if w is None or h is None: + assert example_fpath is not None + # Pose not available so load a image and get the size + w, h = Image.open(example_fpath).size + + fx = float(0.5 * w / np.tan(0.5 * tj["camera_angle_x"])) + if "camera_angle_y" in tj: + fy = float(0.5 * h / np.tan(0.5 * tj["camera_angle_y"])) + else: + fy = fx + + cx = tj.get("cx", w * 0.5) + cy = tj.get("cy", h * 0.5) + + intrin_mtx = np.array([ + [fx, 0.0, cx, 0.0], + [0.0, fy, cy, 0.0], + [0.0, 0.0, 1.0, 0.0], + [0.0, 0.0, 0.0, 1.0], + ]) + # Write intrinsics + np.savetxt(os.path.join(out_data_dir, "intrinsics.txt"), intrin_mtx) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("data_dir", type=str, help="NeRF-NGP data directory") + parser.add_argument("out_data_dir", type=str, help="Output NSVF data directory") + args = parser.parse_args() + convert(args.data_dir, args.out_data_dir) diff --git a/opt/util/nerf_dataset.py b/opt/util/nerf_dataset.py index 5fc16122..9864dcce 100644 --- a/opt/util/nerf_dataset.py +++ b/opt/util/nerf_dataset.py @@ -15,6 +15,8 @@ class NeRFDataset(DatasetBase): """ NeRF dataset loader + + WARNING: this is only intended for use with NeRF Blender data!!!! """ focal: float @@ -58,6 +60,8 @@ def __init__( data_json = path.join(root, "transforms_" + split_name + ".json") print("LOAD DATA", data_path) + print("WARNING: This data loader is ONLY intended for use with NeRF-synthetic Blender data!!!!") + print("If you want to try running this code on Instant-NGP data please use scripts/ingp2nsvf.py") j = json.load(open(data_json, "r")) From 0d1cffe05533538d26663f31eb651841efc30e28 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 10:29:44 -0800 Subject: [PATCH 08/17] Added garden image --- README.md | 20 ++++++++++++++------ github_img/garden.png | Bin 0 -> 1414030 bytes 2 files changed, 14 insertions(+), 6 deletions(-) create mode 100644 github_img/garden.png diff --git a/README.md b/README.md index d7aada9f..aee94df1 100644 --- a/README.md +++ b/README.md @@ -30,7 +30,7 @@ A JAX implementation is also available at ``` -## Voxel Optimization (aka Training) +## Optimization For training a single scene, see `opt/opt.py`. The launch script makes this easier. @@ -111,6 +110,7 @@ Usage, By default this saves all frames, which is very slow. Add `--no_imsave` to avoid this. + ## Rendering a spiral Use `opt/render_imgs_circle.py` @@ -183,10 +183,18 @@ To render a video, please see the "rendering a spiral" section. To convert to a svox1-compatible PlenOctree (not perfect quality since interpolation is not implemented) you can try `to_svox1.py ` -### Recent updates -- Removed COLMAP undistorter since it is very unhelpful (using SIMPLE_PINHOLE for simplicity, could easily use OPENCV camera instead) -- Updated the camera normalization +Example result with the mip-nerf-360 garden data (using custom_alt config as provided) +![Overview](https://raw.githubusercontent.com/sxyu/svox2/master/github_img/garden.png) + +## Potential extensions + +Due to limited time we did not make the follow extensions which should make the quality and speed better. + +- Use exp activation instead of ReLU. May help with the semi-transparent look issue +- Add mip-nerf 360 distortion loss to reduce floaters. PeRFCeption also tuned some parameters to help with the quality +- Use FP16 training. This codebase uses FP32 still. 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6f466c5454deb154f9a9b1fba66978a2a550809c Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 10:36:27 -0800 Subject: [PATCH 09/17] Add fox --- README.md | 5 ++++- github_img/fox.png | Bin 0 -> 1560465 bytes 2 files changed, 4 insertions(+), 1 deletion(-) create mode 100644 github_img/fox.png diff --git a/README.md b/README.md index aee94df1..1e8f66a9 100644 --- a/README.md +++ b/README.md @@ -185,7 +185,10 @@ you can try `to_svox1.py ` Example result with the mip-nerf-360 garden data (using custom_alt config as provided) -![Overview](https://raw.githubusercontent.com/sxyu/svox2/master/github_img/garden.png) +![Garden](https://raw.githubusercontent.com/sxyu/svox2/master/github_img/garden.png) + +With fox (converted with the script `opt/scripts/ingp2nsvf.py`) +![Fox](https://raw.githubusercontent.com/sxyu/svox2/master/github_img/fox.png) ## Potential extensions diff --git a/github_img/fox.png b/github_img/fox.png new file mode 100644 index 0000000000000000000000000000000000000000..73d1f833442f4565388306179dd6611c3bd7f62f GIT binary patch literal 1560465 zcmV(!K;^%QP)8AY~?%nyVOrcS?E9N4z^DM{437^5Rg9z zAOgeEfB+^UfB_<6yBIn6ClM2}O57`uHNx$R)d^9vsxUqMM9}e;9dWGpbMJ zVm(uWlRj%$7426B8S>}eP;93`uZ^nhsm>-lN6g-6d2?f4t}J#=N_KJ zitD4vC1;XinkLVKFXKmWPs*RyLO}p6g({ZnTB^(2ugiX7UFv@e3=-y3=oI-nai}Rw)>_`Z{^RWO(3B|Hs_!4ze^twodPz95SO&`(-Chj)IAK&#V{0 zJ54u8=qarc%)~4#%pxKOi?AFdLM+5g%tYLzquBSU8dGYxJ_iQRI!CU&$>(H5rp7QK ze)%t?22C)>qrDopTA-Kb6lwKyxy$>JES}jlN!Cc?LuY?iuG!yNLhnE(>z3mXk>fZ- z4m%eShtDD`2x@QuU7DDn>c~_wd*_I*I`^)kjo;9EyaZz-c+$O*YU&N{g2KGrh?8Pc zho|vFIEc_cnBs=_BooC+>9DG4cH{?`&kpNSSmfLu=>%$~#q9e?HI>A}(V%y5x?=_b z1Q$=!GS*6wXgyIp(c9jDpaRN%Ep2^X}T^> 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insertions(+) diff --git a/README.md b/README.md index 1e8f66a9..544f0222 100644 --- a/README.md +++ b/README.md @@ -190,12 +190,24 @@ Example result with the mip-nerf-360 garden data (using custom_alt config as pro With fox (converted with the script `opt/scripts/ingp2nsvf.py`) ![Fox](https://raw.githubusercontent.com/sxyu/svox2/master/github_img/fox.png) +### Common Capture Tips + +Floaters and poor quality surfaces can be caused by the following reasons + +- Dynamic objects. Dynamic object modelling is not done in this repo, and if anything moves it will probably lead to floaters +- Specularity. Very shiny surfaces will lead to floaters and/or poor surface artifacts +- Exposure variations. Please lock the exposure when recording a video if possible +- Lighting variations. Sometimes the clouds move when capturing outdoors.. Try to capture within a short time frame +- Motion blur and DoF blur. Do not move too fast and make sure the object is in focus. For small objects, DoF tends to be a substantial issue +- Image quality. Check if your images have severe compression artifacts for example + ## Potential extensions Due to limited time we did not make the follow extensions which should make the quality and speed better. - Use exp activation instead of ReLU. May help with the semi-transparent look issue - Add mip-nerf 360 distortion loss to reduce floaters. PeRFCeption also tuned some parameters to help with the quality +- Exposure modelling - Use FP16 training. This codebase uses FP32 still. This should improve speed and memory use - Add a GUI viewer From 721c29c6c3b3fbeb113bed724bc1b31eaec361a3 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 10:44:14 -0800 Subject: [PATCH 11/17] Typos --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 544f0222..acf683ee 100644 --- a/README.md +++ b/README.md @@ -187,19 +187,19 @@ you can try `to_svox1.py ` Example result with the mip-nerf-360 garden data (using custom_alt config as provided) ![Garden](https://raw.githubusercontent.com/sxyu/svox2/master/github_img/garden.png) -With fox (converted with the script `opt/scripts/ingp2nsvf.py`) +Fox data (converted with the script `opt/scripts/ingp2nsvf.py`) ![Fox](https://raw.githubusercontent.com/sxyu/svox2/master/github_img/fox.png) ### Common Capture Tips Floaters and poor quality surfaces can be caused by the following reasons -- Dynamic objects. Dynamic object modelling is not done in this repo, and if anything moves it will probably lead to floaters -- Specularity. Very shiny surfaces will lead to floaters and/or poor surface artifacts +- Dynamic objects. Dynamic object modelling is not supported in this repo, and if anything moves it will probably lead to floaters +- Specularity. Very shiny surfaces will lead to floaters and/or poor surfaces - Exposure variations. Please lock the exposure when recording a video if possible - Lighting variations. Sometimes the clouds move when capturing outdoors.. Try to capture within a short time frame -- Motion blur and DoF blur. Do not move too fast and make sure the object is in focus. For small objects, DoF tends to be a substantial issue -- Image quality. Check if your images have severe compression artifacts for example +- Motion blur and DoF blur. Try to move slowly and make sure the object is in focus. For small objects, DoF tends to be a substantial issue +- Image quality. Images may have severe JPEG compression artifacts for example ## Potential extensions From 6431964748d5b57d1c7be049aea8da20e7701073 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 10:47:53 -0800 Subject: [PATCH 12/17] Added note about windows --- README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index acf683ee..f28fa1e3 100644 --- a/README.md +++ b/README.md @@ -41,6 +41,8 @@ https://github.com/Kai-46/ARF-svox2 ## Setup +**Windows is not officially supported, and we have only tested with Linux. Adding support would be welcome.** + First create the virtualenv; we recommend using conda: ```sh conda env create -f environment.yml @@ -49,15 +51,16 @@ conda activate plenoxel Then clone the repo and install the library at the root (svox2), which includes a CUDA extension. -If your CUDA toolkit is older than 11, then you will need to install CUB as follows: +**If and only if** your CUDA toolkit is older than 11, you will need to install CUB as follows: `conda install -c bottler nvidiacub`. -Since CUDA 11, CUB is shipped with the toolkit. +Since CUDA 11, CUB is shipped with the toolkit and installing this may lead to build errors. To install the main library, simply run ``` pip install . ``` In the repo root directory. + ## Getting datasets We have backends for NeRF-Blender, LLFF, NSVF, and CO3D dataset formats, and the dataset will be auto-detected. From 078a6fa268b54ff3b210e2e8a08e8d90ca383b7f Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 10:49:50 -0800 Subject: [PATCH 13/17] Typo --- README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index f28fa1e3..3e45524a 100644 --- a/README.md +++ b/README.md @@ -156,13 +156,11 @@ First make sure you have colmap installed. Then Where `` should be a directory directly containing png/jpg images from a normal perspective camera. UPDATE: `--noradial` is recommended since otherwise, the script performs undistortion, which seems to not work well and make results blurry. +Support for the complete OPENCV camera model which has been used by more recent projects would be welcome +https://github.com/google-research/multinerf/blob/1c8b1c552133cdb2de1c1f3c871b2813f6662265/internal/camera_utils.py#L477. For custom datasets we adopt a data format similar to that in NSVF -**Update:** I found that the original release which uses colmap's undistorter made custom scene results much worse. There might be some issue here, but the current version does not use the undistorter. -Supporting a full OPENCV camera model should be fairly easy, as done in nerfstudio and multi-nerf -https://github.com/google-research/multinerf/blob/1c8b1c552133cdb2de1c1f3c871b2813f6662265/internal/camera_utils.py#L477 - You should be able to use this dataset directly afterwards. The format will be auto-detected. From b11fa43b1a95a491c9d19f27ef42e2c3d3c6cf30 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 10:53:03 -0800 Subject: [PATCH 14/17] Use verbose build by default --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3e45524a..461510e7 100644 --- a/README.md +++ b/README.md @@ -57,7 +57,7 @@ Since CUDA 11, CUB is shipped with the toolkit and installing this may lead to b To install the main library, simply run ``` -pip install . +pip install -e . --verbose ``` In the repo root directory. @@ -80,7 +80,7 @@ https://drive.google.com/file/d/1PG-KllCv4vSRPO7n5lpBjyTjlUyT8Nag/view?usp=shari **Note: we currently do not support the instant-ngp format data (since the project was released before NGP). Using it will trigger the nerf-synthetic (Blender) data loader due to similarity, but will not train properly. For real data we use the NSVF format.** -To help convert instant-ngp data, please try +To convert instant-ngp data, please try our script ``` cd opt/scripts python ingp2nsvf.py From 0986b0d60dd87ef29d48482390ad4d21060719a2 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 13:38:08 -0800 Subject: [PATCH 15/17] Update custom config; use wireframe cube in view_data --- opt/configs/custom_alt.json | 6 +++--- opt/scripts/view_data.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/opt/configs/custom_alt.json b/opt/configs/custom_alt.json index 68f1156d..c2e00cc3 100644 --- a/opt/configs/custom_alt.json +++ b/opt/configs/custom_alt.json @@ -1,14 +1,14 @@ { - "reso": "[[128, 128, 128], [256, 256, 256], [512, 512, 512]]", + "reso": "[[256, 256, 256], [512, 512, 512]]", "n_iters": 102400, "background_nlayers": 64, "background_reso": 1024, "cam_scale_factor": 0.95, - "upsamp_every": 25600, + "upsamp_every": 51200, "lr_sigma": 3e1, "lr_sh": 1e-2, "lr_sigma_delay_steps": 35000, - "lr_fg_begin_step": 10000, + "lr_fg_begin_step": 50, "thresh_type": "weight", "weight_thresh": 1.28, "lambda_tv": 5e-5, diff --git a/opt/scripts/view_data.py b/opt/scripts/view_data.py index bb2652d0..4dd09bfc 100644 --- a/opt/scripts/view_data.py +++ b/opt/scripts/view_data.py @@ -372,7 +372,7 @@ def get_transform(c2w): out_dir = path.join(args.data_dir, "visual") scene.add_axes(length=1.0, visible=False) scene.add_sphere("Unit Sphere", visible=False) - scene.add_cube("Unit Cube", scale=2, visible=False) + scene.add_wireframe_cube("Unit Cube", scale=2, visible=False) print('WRITING', out_dir) scene.display(out_dir, world_up=world_up, cam_origin=origin, cam_center=center, cam_forward=vforward) From b63b5dc3fc24ec6883dbacaebb3acf137b73ddf2 Mon Sep 17 00:00:00 2001 From: Alex Yu Date: Sun, 15 Jan 2023 13:38:45 -0800 Subject: [PATCH 16/17] More info on nerfvis preview --- README.md | 4 +++- opt/configs/custom_alt.json | 4 ++-- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 461510e7..a83254d4 100644 --- a/README.md +++ b/README.md @@ -164,9 +164,11 @@ For custom datasets we adopt a data format similar to that in NSVF You should be able to use this dataset directly afterwards. The format will be auto-detected. -To view the data use: +To view the data (and check the scene normalization) use: `python view_data.py ` +You will need nerfvis: `pip install nerfvis` + This should launch a server at localhost:8889 diff --git a/opt/configs/custom_alt.json b/opt/configs/custom_alt.json index c2e00cc3..ca683ab7 100644 --- a/opt/configs/custom_alt.json +++ b/opt/configs/custom_alt.json @@ -1,10 +1,10 @@ { - "reso": "[[256, 256, 256], [512, 512, 512]]", + "reso": "[[128, 128, 128], [256, 256, 256], [512, 512, 512]]", "n_iters": 102400, "background_nlayers": 64, "background_reso": 1024, "cam_scale_factor": 0.95, - "upsamp_every": 51200, + "upsamp_every": 38400, "lr_sigma": 3e1, "lr_sh": 1e-2, "lr_sigma_delay_steps": 35000, From a1cae705904ada4fac82e77afb9451b93251d72c Mon Sep 17 00:00:00 2001 From: jaeyeol Date: Mon, 30 Jan 2023 20:45:43 +0900 Subject: [PATCH 17/17] specified pytorch version to fix build error --- environment.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/environment.yml b/environment.yml index eb2ac71a..a8f6790e 100644 --- a/environment.yml +++ b/environment.yml @@ -22,7 +22,7 @@ dependencies: - moviepy - matplotlib - scipy>=1.6.0 - - pytorch + - pytorch=1.11.0 - torchvision - cudatoolkit - tqdm

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