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736dcf7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 | # Modified from https://github.com/PeizhuoLi/neural-blend-shapes/blob/main/blender_scripts/vertex_color.py
import bpy
import numpy as np
import random
import os
import matplotlib.pyplot as plt
def generate_color_table(num_colors, base_color_path):
base_colors = np.load(base_color_path)
idx = list(range(base_colors.shape[0]))
random.seed(5)
random.shuffle(idx)
pt = 0
res = []
for i in range(num_colors):
res.append(base_colors[idx[pt]])
pt += 1
pt %= base_colors.shape[0]
return np.array(res)
def weight2color(weight, colors):
res = np.matmul(weight, colors)
res = np.clip(res, 0, 1)
return res
def export_obj_with_vertex_colors(obj_object, vertex_colors, filepath):
mesh = obj_object.data
with open(filepath, 'w') as f:
f.write("# Exported OBJ with vertex colors\n")
for v, color in zip(mesh.vertices, vertex_colors):
f.write("v {} {} {} {} {} {}\n".format(
v.co.x, v.co.y, v.co.z,
color[0], color[1], color[2]
))
f.write("g {}\n".format(obj_object.name))
for poly in mesh.polygons:
vertices = [v + 1 for v in poly.vertices]
face = "f " + " ".join([str(v) for v in vertices]) + "\n"
f.write(face)
def compute_error_map(weight_method, weight_gt):
error = np.abs(weight_method - weight_gt) # Shape: (n_vertex, n_color)
error_map = np.max(error, axis=1) # Taking the maximum error across all colors for each vertex
# error_map = np.mean(error, axis=1)
# Normalize error_map to [0,1]
error_map = np.clip(error_map, 0, 1)
return error_map
def error_map_to_color(error_map, colormap='Reds'):
cmap = plt.get_cmap(colormap)
colors = cmap(error_map)[:, :3] # Discard alpha channel
return colors
def generate_color_bar(filepath, colormap='Reds'):
fig, ax = plt.subplots(figsize=(8, 1.5))
fig.subplots_adjust(bottom=0.5)
cmap = plt.get_cmap(colormap)
norm = plt.Normalize(vmin=0, vmax=1)
cb1 = plt.colorbar(plt.cm.ScalarMappable(norm=norm, cmap=cmap),
cax=ax, orientation='horizontal')
cb1.ax.tick_params(labelsize=26)
plt.savefig(filepath, bbox_inches='tight')
plt.close()
def main():
base_color_path = "utils/tableau_color.npy"
### xlv2_test
obj_path = "xlv2_test_mesh" # save from npz files, check skeleton/data_utils/convert_npz_to_mesh_rig.py
weight_path1 = "gt_onxlv2_npy"
weight_path2 = "ours_onxlv2_npy"
# weight_path3 = "rignet_onxlv2_npy"
# weight_path4 = "gvb_onxlv2_npy"
save_path = "obj_w_skincolor_errormap_onxlv2_test"
color_bar_path = "error_color_bar.png" # Path to save the color bar image
if not os.path.exists(save_path):
os.makedirs(save_path)
generate_color_bar(color_bar_path, colormap='Reds')
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)
for obj_file in os.listdir(obj_path):
obj_file_path = os.path.join(obj_path, obj_file)
wt_gt_file = os.path.join(weight_path1, obj_file.replace(".obj", "_skin.npy"))
wt_ours_file = os.path.join(weight_path2, obj_file.replace(".obj", "_skin.npy"))
# wt_rignet_file = os.path.join(weight_path3, obj_file.replace(".obj", "_skin.npy"))
# wt_gvb_file = os.path.join(weight_path4, obj_file.replace(".obj", "_skin.npy"))
if not os.path.exists(wt_gt_file) or not os.path.exists(wt_ours_file): # or not os.path.exists(wt_rignet_file) or not os.path.exists(wt_gvb_file):
continue
# 导入OBJ文件
bpy.ops.wm.obj_import(filepath=obj_file_path)
imported_objects = bpy.context.selected_objects
if not imported_objects:
print("Failed to import OBJ file:", obj_file_path)
continue
obj = imported_objects[0]
weight_gt = np.load(wt_gt_file)
weight_ours = np.load(wt_ours_file)
# weight_rignet = np.load(wt_rignet_file)
# weight_gvb = np.load(wt_gvb_file)
if weight_gt.shape != weight_ours.shape: # or weight_gt.shape != weight_rignet.shape or weight_gt.shape != weight_gvb.shape:
print("Weight shape mismatch among files")
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)
continue
if len(weight_gt.shape) != 2:
print("Weight file should be 2D array")
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)
continue
n_vertices = len(obj.data.vertices)
if weight_gt.shape[0] != n_vertices:
print(f"Vertex count mismatch: OBJ has {n_vertices}, but weight file has {weight_gt.shape[0]}")
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)
continue
# generate colors
n_color = weight_gt.shape[1]
colors = generate_color_table(n_color, base_color_path)
vertex_colors_gt = weight2color(weight_gt, colors)
vertex_colors_ours = weight2color(weight_ours, colors)
# vertex_colors_rignet = weight2color(weight_rignet, colors)
# vertex_colors_gvb = weight2color(weight_gvb, colors)
# Save obj with vertex colors
output_path_gt = os.path.join(save_path, obj_file.replace(".obj", "_gt.obj"))
output_path_ours = os.path.join(save_path, obj_file.replace(".obj", "_ours.obj"))
# output_path_rignet = os.path.join(save_path, obj_file.replace(".obj", "_rignet.obj"))
# output_path_gvb = os.path.join(save_path, obj_file.replace(".obj", "_gvb.obj"))
export_obj_with_vertex_colors(obj, vertex_colors_gt, output_path_gt)
export_obj_with_vertex_colors(obj, vertex_colors_ours, output_path_ours)
# export_obj_with_vertex_colors(obj, vertex_colors_rignet, output_path_rignet)
# export_obj_with_vertex_colors(obj, vertex_colors_gvb, output_path_gvb)
# Save object with error color map
# 1. Ours vs GT
error_ours = compute_error_map(weight_ours, weight_gt)
colors_error_ours = error_map_to_color(error_ours, colormap='Reds')
output_path_error_ours = os.path.join(save_path, obj_file.replace(".obj", "_error_ours.obj"))
export_obj_with_vertex_colors(obj, colors_error_ours, output_path_error_ours)
# 2. Rignet vs GT
# error_rignet = compute_error_map(weight_rignet, weight_gt)
# colors_error_rignet = error_map_to_color(error_rignet, colormap='Reds')
# output_path_error_rignet = os.path.join(save_path, obj_file.replace(".obj", "_error_rignet.obj"))
# export_obj_with_vertex_colors(obj, colors_error_rignet, output_path_error_rignet)
# 3. GVB vs GT
# error_gvb = compute_error_map(weight_gvb, weight_gt)
# colors_error_gvb = error_map_to_color(error_gvb, colormap='Reds')
# output_path_error_gvb = os.path.join(save_path, obj_file.replace(".obj", "_error_gvb.obj"))
# export_obj_with_vertex_colors(obj, colors_error_gvb, output_path_error_gvb)
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete(use_global=False)
print("Done")
if __name__ == "__main__":
main()
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