Download objects/cooling_fan/normalize_proportionally.py from FACEONG/VIKI-Assets: direct link, hf CLI and curl.
- Browser
- Download file 1.72 kB
-
https://huggingface.co/datasets/FACEONG/VIKI-Assets/resolve/main/objects/cooling_fan/normalize_proportionally.py
- Command line
-
hf download hf://datasets/FACEONG/VIKI-Assets/objects/cooling_fan/normalize_proportionally.py
-
curl -L -o normalize_proportionally.py https://huggingface.co/datasets/FACEONG/VIKI-Assets/resolve/main/objects/cooling_fan/normalize_proportionally.py
1.72 kB
| import numpy as np | |
| def normalize_obj(input_file, output_file): | |
| vertices = [] | |
| all_lines = [] | |
| # Read the OBJ file | |
| with open(input_file, 'r') as file: | |
| for line in file: | |
| if line.startswith('v '): # Vertex line | |
| parts = line.split() | |
| vertices.append([float(parts[1]), float(parts[2]), float(parts[3])]) | |
| all_lines.append(line) | |
| # Convert vertices to a numpy array for processing | |
| vertices = np.array(vertices) | |
| # Compute min and max for each axis | |
| min_vals = np.min(vertices, axis=0) | |
| max_vals = np.max(vertices, axis=0) | |
| ranges = max_vals - min_vals | |
| # Find the largest range between x and y | |
| largest_range_xy = max(ranges[0], ranges[1]) | |
| # Normalize x and y to [-0.5, 0.5] and scale by the largest range | |
| vertices[:, 0] = (vertices[:, 0] - (min_vals[0] + max_vals[0]) / 2) / largest_range_xy | |
| vertices[:, 1] = (vertices[:, 1] - (min_vals[1] + max_vals[1]) / 2) / largest_range_xy | |
| # Scale z proportionally to the largest xy range and shift it to start from 0 | |
| vertices[:, 2] = (vertices[:, 2] - min_vals[2]) / largest_range_xy | |
| # Write the modified OBJ file | |
| with open(output_file, 'w') as file: | |
| count = 0 | |
| for line in all_lines: | |
| if line.startswith('v '): # Replace vertex lines | |
| vertex = vertices[count] | |
| file.write(f"v {vertex[0]} {vertex[1]} {vertex[2]}\n") | |
| count += 1 | |
| else: | |
| file.write(line) | |
| # Specify input and output files | |
| input_file = 'old.obj' | |
| output_file = 'new.obj' | |
| # Normalize the OBJ file | |
| normalize_obj(input_file, output_file) |