import os import subprocess import torch from test import just_get_sd_mask import requests from PIL import Image from io import BytesIO print(os.listdir('/usr/local/')) print(torch.version.cuda) class EndpointHandler(): def __init__(self, path="."): is_production = True if False: return os.chdir(path) os.environ['AM_I_DOCKER'] = 'False' os.environ['BUILD_WITH_CUDA'] = 'True' os.environ['CUDA_HOME'] = '/usr/local/cuda-11.7/' if is_production else '/usr/local/cuda-12.1/' # Install Segment Anything subprocess.run(["python", "-m", "pip", "install", "-e", "segment_anything"]) # Install Grounding DINO subprocess.run(["python", "-m", "pip", "install", "-e", "GroundingDINO"]) subprocess.run("wget https://huggingface.co/Uminosachi/sam-hq/resolve/main/sam_hq_vit_h.pth -O ./sam_hq_vit_h.pth", shell=True) # Install diffusers subprocess.run(["pip", "install", "--upgrade", "diffusers[torch]"]) # Install osx subprocess.run(["git", "submodule", "update", "--init", "--recursive"]) subprocess.run(["bash", "grounded-sam-osx/install.sh"], cwd="grounded-sam-osx") # Install RAM & Tag2Text subprocess.run(["git", "clone", "https://github.com/xinyu1205/recognize-anything.git"]) subprocess.run(["pip", "install", "-r", "./recognize-anything/requirements.txt"]) subprocess.run(["pip", "install", "-e", "./recognize-anything/"]) def __call__(self, data): mask_pil = just_get_sd_mask(Image.open("assets/demo1.jpg"), "bear", 10) if mask_pil.mode != 'RGB': mask_pil = mask_pil.convert('RGB') # Convert PIL image to byte array img_byte_arr = BytesIO() mask_pil.save(img_byte_arr, format='JPEG') img_byte_arr = img_byte_arr.getvalue() # Upload to file.io response = requests.post("https://file.io/", files={"file": img_byte_arr}) url = response.json().get('link') return {"url": url}