Update requirements.txt

requirements.txt

@@ -1,74 +1,20 @@
-# Core deep learning
-torch==2.5.1
-torchvision==0.16.1
-
-# MMCV and MMDetection (video segmentation)
-mmcv>=2.0.0rc4,<2.1.0
-mmdet==3.3.0
-
-# Video/image processing
-opencv-python
-scipy
-numpy
-pillow
-
-# Gradio UI
-gradio==4.24.0
-
-# Model/config management
-omegaconf==2.0.6
-pyyaml
-
-# Hugging Face utilities
-huggingface-hub
-
-# Progress bar
-tqdm
-
-# fairseq (from GitHub for full compatibility)
-git+https://github.com/facebookresearch/fairseq.git@v0.12.2
-
-# COCO API for mmdet
-pycocotools
-
-# Additional utilities and metrics
-sacrebleu
-editdistance
-bert-score
-# fairscale is only needed if you use pipeline parallelism with fairseq (optional)
-# fairscale
-
-# For video/frame processing in some pipelines
-ffmpeg-python
-
-# Data manipulation and logging (if used)
-pandas
+transformers==4.42.3
+timm==1.0.7
+einops==0.8.0
 wandb
-
-# If you use transformers models (e.g., Hugging Face GPT2 in fairseq)
-transformers
-
-# If you use timm or einops (common in vision models)
-timm
-einops
-
-# If you use h5py, imgaug, or fvcore (seen in some requirements in your repo)
+opencv-python==4.10.0.84
 h5py
-imgaug
+scipy==1.10.1
+pycocotools==2.0.7
+imgaug==0.4.0
 fvcore
-
-# If you use spaCy (seen in requirements)
-spacy
-
-# If you use pyav (for advanced video I/O)
+pandas==2.0.3
+spacy==3.7.2
+hydra-core==1.3.2
 pyav
-
-# If you use scikit-learn or gdown (seen in requirements)
-scikit-learn
-gdown
-
-# If you use bitarray or py3_wget (seen in requirements)
 bitarray
 py3_wget
-
-# Optional: Add any other Python packages you use below
+sacrebleu
+scikit-learn
+gdown
+omegaconf==2.3.0