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| # -*- coding: utf-8 -*- | |
| # | |
| # @File: app.py | |
| # @Author: Haozhe Xie | |
| # @Date: 2024-03-02 16:30:00 | |
| # @Last Modified by: Haozhe Xie | |
| # @Last Modified at: 2024-03-03 16:08:25 | |
| # @Email: root@haozhexie.com | |
| import gradio as gr | |
| import logging | |
| import numpy as np | |
| import os | |
| import ssl | |
| import subprocess | |
| import sys | |
| import torch | |
| import urllib.request | |
| from PIL import Image | |
| # Fix: ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed | |
| ssl._create_default_https_context = ssl._create_unverified_context | |
| # Import CityDreamer modules | |
| sys.path.append(os.path.join(os.path.dirname(__file__), "citydreamer")) | |
| def setup_runtime_env(): | |
| logging.info("CUDA version is %s" % subprocess.check_output(["nvcc", "--version"])) | |
| logging.info("GCC version is %s" % subprocess.check_output(["g++", "--version"])) | |
| # Compile CUDA extensions | |
| ext_dir = os.path.join(os.path.dirname(__file__), "citydreamer", "extensions") | |
| for e in os.listdir(ext_dir): | |
| if not os.path.isdir(os.path.join(ext_dir, e)): | |
| continue | |
| subprocess.call(["pip", "install", "."], cwd=os.path.join(ext_dir, e)) | |
| def get_models(file_name): | |
| import citydreamer.model | |
| if not os.path.exists(file_name): | |
| urllib.request.urlretrieve( | |
| "https://huggingface.co/hzxie/city-dreamer/resolve/main/%s" % file_name, | |
| file_name, | |
| ) | |
| ckpt = torch.load(file_name) | |
| model = citydreamer.model.GanCraftGenerator(ckpt["cfg"]) | |
| if torch.cuda.is_available(): | |
| model = torch.nn.DataParallel(model).cuda().eval() | |
| model.load_state_dict(ckpt["gancraft_g"], strict=False) | |
| return model | |
| def get_city_layout(): | |
| hf = np.array(Image.open("assets/NYC-HghtFld.png")) | |
| seg = np.array(Image.open("assets/NYC-SegMap.png").convert("P")) | |
| return hf, seg | |
| def get_generated_city(radius, altitude, azimuth, map_center): | |
| # The import must be done after CUDA extension compilation | |
| import citydreamer.inference | |
| return citydreamer.inference.generate_city( | |
| get_generated_city.fgm, | |
| get_generated_city.bgm, | |
| get_generated_city.hf.copy(), | |
| get_generated_city.seg.copy(), | |
| map_center, | |
| map_center, | |
| radius, | |
| altitude, | |
| azimuth, | |
| ) | |
| def main(debug): | |
| title = "CityDreamer Demo 🏙️" | |
| with open("README.md", "r") as f: | |
| markdown = f.read() | |
| desc = markdown[markdown.rfind("---") + 3 :] | |
| with open("ARTICLE.md", "r") as f: | |
| arti = f.read() | |
| app = gr.Interface( | |
| get_generated_city, | |
| [ | |
| gr.Slider(128, 512, value=343, step=5, label="Camera Radius (m)"), | |
| gr.Slider(256, 512, value=296, step=5, label="Camera Altitude (m)"), | |
| gr.Slider(0, 360, value=60, step=5, label="Camera Azimuth (°)"), | |
| gr.Slider(1440, 6752, value=3970, step=5, label="Map Center (px)"), | |
| ], | |
| [gr.Image(type="numpy", label="Generated City")], | |
| title=title, | |
| description=desc, | |
| article=arti, | |
| allow_flagging="never", | |
| ) | |
| app.queue(api_open=False) | |
| app.launch(debug=debug) | |
| if __name__ == "__main__": | |
| logging.basicConfig( | |
| format="[%(levelname)s] %(asctime)s %(message)s", level=logging.INFO | |
| ) | |
| logging.info("Compiling CUDA extensions...") | |
| setup_runtime_env() | |
| logging.info("Downloading pretrained models...") | |
| fgm = get_models("CityDreamer-Fgnd.pth") | |
| bgm = get_models("CityDreamer-Bgnd.pth") | |
| get_generated_city.fgm = fgm | |
| get_generated_city.bgm = bgm | |
| logging.info("Loading New York city layout to RAM...") | |
| hf, seg = get_city_layout() | |
| get_generated_city.hf = hf | |
| get_generated_city.seg = seg | |
| logging.info("Starting the main application...") | |
| main(os.getenv("DEBUG") == "1") | |