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  1. requirements.txt +17 -40
requirements.txt CHANGED
@@ -1,41 +1,18 @@
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-
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- # Core PyTorch (use CPU-only versions for faster install)
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- # Core PyTorch (standard versions - will auto-detect CPU/GPU)
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- torch==2.0.1
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- torchvision==0.15.2
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-
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- # Image processing
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- Pillow==9.5.0
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- opencv-python-headless==4.8.0.76
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-
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- # Core ML libraries
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- numpy==1.24.3
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- matplotlib==3.7.1
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-
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- # NLP libraries
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- nltk==3.8.1
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- rouge-score==0.1.2
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-
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- # COCO evaluation (this is problematic - see alternatives below)
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- # pycocotools==2.0.6
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- # pycocoevalcap @ git+https://github.com/salaniz/pycocoevalcap.git
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-
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- # Web framework
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- flask==2.3.2
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- flask-sqlalchemy==3.0.5
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- gunicorn==21.2.0
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- werkzeug==2.3.6
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-
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- # Object detection
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- ultralytics==8.0.120
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-
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- # Face recognition - LIGHTER ALTERNATIVES
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- # Option 1: MediaPipe (recommended - much faster)
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- mediapipe==0.10.1
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-
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- # Option 2: If you must use dlib-based face recognition
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- face-recognition==1.3.0
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  dlib-bin==19.22.0
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-
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- # Progress tracking
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- tqdm==4.65.0
 
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+ torch
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+ torchvision
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+ Pillow
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+ numpy
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+ matplotlib
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+ tqdm
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+ nltk
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+ rouge-score
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+ pycocotools
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+ pycocoevalcap @ git+https://github.com/salaniz/pycocoevalcap.git
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+ flask
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+ flask_sqlalchemy
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+ gunicorn
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+ ultralytics
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  dlib-bin==19.22.0
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+ face_recognition==1.3.0
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+ opencv-python-headless
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+ werkzeug