Question: I’m developing a Python application that uses Flask, running in a Docker container on a Linux server with NGINX. The application works perfectly on my local machine, but when I deploy it on the server, I encounter the following error:  ERROR:app:Exception: Traceback (most recent call last): File "/app/app.py", line 32, in analyze_face analyzer = FaceFeatureAnalyzer() # Create an instance here File "/app/face_feature_analyzer/main_face_analyzer.py", line 43, in init self.face_app = FaceAnalysis(name='antelopev2', root=self.model_root) File "/usr/local/lib/python3.9/site-packages/insightface/app/face_analysis.py", line 43, in init assert 'detection' in self.models AssertionError  Here is the code class FaceFeatureAnalyzer: def __init__(self): self.model_root = "/root/.insightface" self.model_path = os.path.join(self.model_root, "models/antelopev2") self.zip_path = os.path.join(self.model_root, "models/antelopev2.zip") self.model_url = "https://github.com/deepinsight/insightface/releases/download/v0.7/antelopev2.zip" # Initialize FaceAnalysis self.face_app = FaceAnalysis(name='antelopev2', root=self.model_root) self.face_app.prepare(ctx_id=0, det_size=(640, 640))  I have also tried to download it in same directory but that attempt also results in same error.. here is what i additionally tried class FaceFeatureAnalyzer: def __init__(self): # Initialize the InsightFace model self.face_app = FaceAnalysis(name='antelopev2') self.face_app.prepare(ctx_id=0, det_size=(640, 640)) logger.info("Initialized FaceAnalysis with model 'antelopev2'.")  What I’ve Observed and Tried: Model Download and Extraction Logs: • During startup, the model antelopev2 is downloaded and extracted to /root/.insightface/models/antelopev2. The logs confirm this: Download completed. Extracting /root/.insightface/models/antelopev2.zip to /root/.insightface/models/antelopev2... Extraction completed.  However, when checking the directory, it appears empty or the program cannot detect the models. Manually Adding the Models Previously, manually downloading the antelopev2 model and placing it in /root/.insightface/models/antelopev2 resolved the issue. I also set appropriate permissions using: chmod -R 755 /root/.insightface/models/antelopev2  After making updates to the codebase and rebuilding the Docker container, the issue reappeared. Directory Contents: The following files exist in /root/.insightface/models/antelopev2:# 1k3d68.onnx 2d106det.onnx genderage.onnx glintr100.onnx scrfd_10g_bnkps.onnx  These are the expected .onnx files for antelopev2. The application works locally without any errors. The issue only arises in the Docker container on the Linux server. Even though the files are present and permissions are set correctly, the application seems unable to detect them. How can I debug or fix this issue? Dockerfile FROM python:3.9-slim # Set environment variables ENV PYTHONDONTWRITEBYTECODE=1 ENV PYTHONUNBUFFERED=1 # Set the working directory in the container WORKDIR /app # Install system dependencies including libgl1-mesa-glx and others RUN apt-get update && apt-get install -y --no-install-recommends \ libgl1-mesa-glx \ libglib2.0-0 \ g++ \ build-essential \ && apt-get clean && rm -rf /var/lib/apt/lists/* # Copy the requirements file into the container COPY requirements.txt /app/ # Install Python dependencies RUN pip install --upgrade pip RUN pip install --no-cache-dir -r requirements.txt # Copy the rest of the application code into the container COPY . /app EXPOSE 7002 # Run the Flask application CMD ["python", "app.py"]  Docker-compose.yml version: '3.8' services: flask-app: build: context: ./backend container_name: flask-app ports: - "7000:7000" environment: - FLASK_RUN_HOST=0.0.0.0 - FLASK_RUN_PORT=7000 volumes: - ./backend:/app depends_on: - nginx nginx: image: nginx:latest container_name: nginx ports: - "80:80" - "443:443" volumes: - ./nginx:/etc/nginx/sites-enabled - ./nginx-certificates:/etc/letsencrypt 

Answer: I met the same issue today with Ubuntu 22.04 + antelopev2 model. I changed the model to buffalo_l and the error is gone. # antelopev2 + Ubuntu 22.04: assert 'detection' in self.models app = FaceAnalysis(name='buffalo_l', providers=['CUDAExecutionProvider', 'CPUExecutionProvider']) app.prepare(ctx_id=0, det_size=(640, 640))  I don't know why, both antelopev2 and buffalo_l works on Mac M3 Max, but antelopev2 just won't work on Linux.