update dataloader

src/data/objaverse.py

@@ -1,9 +1,11 @@
-import os
+import os, sys
 import math
 import json
+import importlib
 from pathlib import Path
 
 import cv2
+import random
 import numpy as np
 from PIL import Image
 import webdataset as wds
@@ -20,7 +22,7 @@ from src.utils.train_util import instantiate_from_config
 from src.utils.camera_util import (
     FOV_to_intrinsics, 
     center_looking_at_camera_pose, 
-    get_surrounding_views,
+    get_circular_camera_poses,
 )
 
 
@@ -97,7 +99,7 @@ class ObjaverseData(Dataset):
         paths = filtered_dict['good_objs']
         self.paths = paths
         
-        self.depth_scale = 4.0
+        self.depth_scale = 6.0
             
         total_objects = len(self.paths)
         print('============= length of dataset %d =============' % len(self.paths))
@@ -222,7 +224,7 @@ class ObjaverseData(Dataset):
             'input_alphas': alphas[:self.input_view_num],           # (6, 1, H, W) 
             'input_depths': depths[:self.input_view_num],           # (6, 1, H, W)
             'input_normals': normals[:self.input_view_num],         # (6, 3, H, W)
-            'input_c2ws': c2ws_input[:self.input_view_num],         # (6, 4, 4)
+            'input_c2ws': c2ws[:self.input_view_num],               # (6, 4, 4)
             'input_Ks': Ks[:self.input_view_num],                   # (6, 3, 3)
 
             # lrm generator input and supervision
@@ -240,8 +242,8 @@ class ValidationData(Dataset):
     def __init__(self,
         root_dir='objaverse/',
         input_view_num=6,
-        input_image_size=256,
+        input_image_size=320,
-        fov=50,
+        fov=30,
     ):
         self.root_dir = Path(root_dir)
         self.input_view_num = input_view_num
@@ -251,9 +253,9 @@ class ValidationData(Dataset):
         self.paths = sorted(os.listdir(self.root_dir))
         print('============= length of dataset %d =============' % len(self.paths))
 
-        cam_distance = 2.5
+        cam_distance = 4.0
         azimuths = np.array([30, 90, 150, 210, 270, 330])
-        elevations = np.array([30, -20, 30, -20, 30, -20])
+        elevations = np.array([20, -10, 20, -10, 20, -10])
         azimuths = np.deg2rad(azimuths)
         elevations = np.deg2rad(elevations)
 
@@ -267,7 +269,7 @@ class ValidationData(Dataset):
         self.c2ws = c2ws.float()
         self.Ks = FOV_to_intrinsics(self.fov).unsqueeze(0).repeat(6, 1, 1).float()
 
-        render_c2ws = get_surrounding_views(M=8, radius=cam_distance)
+        render_c2ws = get_circular_camera_poses(M=8, radius=cam_distance, elevation=20.0)
         render_Ks = FOV_to_intrinsics(self.fov).unsqueeze(0).repeat(render_c2ws.shape[0], 1, 1)
         self.render_c2ws = render_c2ws.float()
         self.render_Ks = render_Ks.float()