Absolute import and linting
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@ -4,12 +4,13 @@ import typing
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import numpy as np
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import numpy as np
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from colmap_wrapper import run_colmap
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from nerf_homemade.poses.colmap_wrapper import run_colmap
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import colmap_read_model as read_model
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import nerf_homemade.poses.colmap_read_model as read_model
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FORMAT = "%(asctime)s %(levelname)s \t %(message)s"
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FORMAT = "%(asctime)s %(levelname)s \t %(message)s"
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logging.basicConfig(format=FORMAT, level=logging.DEBUG)
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logging.basicConfig(format=FORMAT, level=logging.DEBUG)
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def gen_poses(basedir: str, match_type: str = 'exhaustive') -> None:
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def gen_poses(basedir: str, match_type: str = 'exhaustive') -> None:
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"""
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"""
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Geneate or retreive camera poses.
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Geneate or retreive camera poses.
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@ -40,7 +41,8 @@ def gen_poses(basedir: str, match_type: str='exhaustive') -> None:
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logging.info("Running COLMAP")
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logging.info("Running COLMAP")
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run_colmap(basedir, match_type)
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run_colmap(basedir, match_type)
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else:
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else:
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logging.info("Files genreated by COLMAP found. Skipping running COLMAP.")
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logging.info(
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"Files genreated by COLMAP found. Skipping running COLMAP.")
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logging.debug("Loading COLMAP data")
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logging.debug("Loading COLMAP data")
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poses, points_3d, perm = load_colmap_data(basedir)
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poses, points_3d, perm = load_colmap_data(basedir)
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@ -48,6 +50,7 @@ def gen_poses(basedir: str, match_type: str='exhaustive') -> None:
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logging.debug("Saving COLMAP data to npy")
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logging.debug("Saving COLMAP data to npy")
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save_poses(basedir, poses, points_3d, perm)
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save_poses(basedir, poses, points_3d, perm)
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def load_colmap_data(basedir: str) -> (np.ndarray, dict, np.ndarray):
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def load_colmap_data(basedir: str) -> (np.ndarray, dict, np.ndarray):
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"""
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"""
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Load data from a COLMAP arborescence.
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Load data from a COLMAP arborescence.
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@ -107,17 +110,20 @@ def load_colmap_data(basedir: str) -> (np.ndarray, dict, np.ndarray):
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c2w_mats = np.linalg.inv(w2c_mats)
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c2w_mats = np.linalg.inv(w2c_mats)
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poses = c2w_mats[:, :3, :4].transpose([1, 2, 0])
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poses = c2w_mats[:, :3, :4].transpose([1, 2, 0])
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poses = np.concatenate([poses, np.tile(hwf[..., np.newaxis], [1,1,poses.shape[-1]])], 1)
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poses = np.concatenate(
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[poses, np.tile(hwf[..., np.newaxis], [1, 1, poses.shape[-1]])], 1)
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# read 3d points data
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# read 3d points data
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pts3d_file = os.path.join(basedir, "points3D.bin")
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pts3d_file = os.path.join(basedir, "points3D.bin")
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pts3d = read_model.read_points3d_binary(pts3d_file)
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pts3d = read_model.read_points3d_binary(pts3d_file)
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# must switch to [-u, r, -t] from [r, -u, t], NOT [r, u, -t]
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# must switch to [-u, r, -t] from [r, -u, t], NOT [r, u, -t]
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poses = np.concatenate([poses[:, 1:2, :], poses[:, 0:1, :], -poses[:, 2:3, :], poses[:, 3:4, :], poses[:, 4:5, :]], 1)
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poses = np.concatenate([poses[:, 1:2, :], poses[:, 0:1, :], -
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poses[:, 2:3, :], poses[:, 3:4, :], poses[:, 4:5, :]], 1)
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return poses, pts3d, perm
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return poses, pts3d, perm
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def save_poses(basedir, poses, pts3d, perm) -> None:
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def save_poses(basedir, poses, pts3d, perm) -> None:
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"""
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"""
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Save the COLMAP data in a `.npy` format.
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Save the COLMAP data in a `.npy` format.
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@ -142,7 +148,8 @@ def save_poses(basedir, poses, pts3d, perm) -> None:
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cams = [0] * poses.shape[-1]
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cams = [0] * poses.shape[-1]
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for ind in pts3d[k].image_ids:
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for ind in pts3d[k].image_ids:
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if len(cams) < ind - 1:
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if len(cams) < ind - 1:
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logging.error("The correct camera poses for current points cannot be accessed")
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logging.error(
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"The correct camera poses for current points cannot be accessed")
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return
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return
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cams[ind - 1] = 1
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cams[ind - 1] = 1
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vis_arr.append(cams)
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vis_arr.append(cams)
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@ -151,10 +158,11 @@ def save_poses(basedir, poses, pts3d, perm) -> None:
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vis_arr = np.array(vis_arr)
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vis_arr = np.array(vis_arr)
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logging.info(f"Points {pts_arr.shape} Visibility {vis_arr.shape}")
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logging.info(f"Points {pts_arr.shape} Visibility {vis_arr.shape}")
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zvals = np.sum(-(pts_arr[:, np.newaxis, :].transpose([2,0,1]) - poses[:3, 3:4, :]) * poses[:3, 2:3, :], 0)
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zvals = np.sum(-(pts_arr[:, np.newaxis, :].transpose([2, 0, 1]
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) - poses[:3, 3:4, :]) * poses[:3, 2:3, :], 0)
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valid_z = zvals[vis_arr == 1]
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valid_z = zvals[vis_arr == 1]
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logging.info(f"Depths stats - min: {valid_z.min()} max: {valid_z.max()}
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logging.info(
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mean: {valid_z.mean()}")
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f"Depths stats - min: {valid_z.min()} max: {valid_z.max()} mean: {valid_z.mean()}")
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save_arr = []
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save_arr = []
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for i in perm:
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for i in perm:
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@ -163,7 +171,8 @@ def save_poses(basedir, poses, pts3d, perm) -> None:
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zs = zs[vis == 1]
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zs = zs[vis == 1]
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close_depth, inf_depth = np.percentile(zs, .1), np.percentile(zs, 99.9)
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close_depth, inf_depth = np.percentile(zs, .1), np.percentile(zs, 99.9)
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save_arr.append(np.concatenate([poses[..., i].ravel(), np.array([close_depth, inf_depth])], 0))
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save_arr.append(np.concatenate(
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[poses[..., i].ravel(), np.array([close_depth, inf_depth])], 0))
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save_arr = np.array(save_arr)
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save_arr = np.array(save_arr)
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save_path = os.path.join(basedir, "poses_bounds.npy")
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save_path = os.path.join(basedir, "poses_bounds.npy")
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