added conda_requirements.txt and pip_requirements.txt

.gitignore

@@ -12,5 +12,6 @@ object_detector_benchmark/8_calves_arrow/
 object_detector_benchmark/8_calves_coco/
 object_detector_benchmark/transformer_benchmark/runs
 *__pycache__
-!requirement.txt
+!conda_requirements.txt
+!pip_requirements.txt
 *.mdb

README.md

@@ -66,16 +66,18 @@ df = pd.read_pickle("pmfeed_4_3_16_bboxes_and_labels.pkl")
 
 ## Usage
 ### Dataset Download:
-Step 1: install conda environment from
-`requirement.txt`
 
-
-Step 2: install git-lfs:
+Step 1: install git-lfs:
 `git lfs install`
 
-Step 3: 
+Step 2: 
 `git clone [email protected]:datasets/tonyFang04/8-calves`
 
+Step 3: install conda and pip environments:
+```
+conda create --name new_env --file conda_requirements.txt
+pip install -r pip_requirements.txt
+```
 ### Object Detection
 - **Training/Validation**: Use the first 600 frames from `hand_labelled_frames/` (chronological split).  
 - **Testing**: Evaluate on the full video (`pmfeed_4_3_16.avi`) using the provided PKL annotations.  

pip_requirements.txt

@@ -0,0 +1,147 @@
+absl-py==2.2.1
+accelerate==1.5.2
+aiohappyeyeballs==2.6.1
+aiohttp==3.11.15
+aiosignal==1.3.2
+albucore==0.0.23
+albumentations==2.0.5
+annotated-types==0.7.0
+array_record==0.7.1
+astunparse==1.6.3
+async-timeout==5.0.1
+attrs==25.3.0
+certifi==2025.1.31
+charset-normalizer==3.4.1
+chex==0.1.89
+contourpy==1.3.1
+cycler==0.12.1
+datasets==3.5.0
+dill==0.3.8
+dm-tree==0.1.9
+docstring_parser==0.16
+einops==0.8.1
+etils==1.12.2
+faiss-gpu==1.7.2
+filelock==3.18.0
+flatbuffers==25.2.10
+flax==0.10.4
+fonttools==4.56.0
+frozenlist==1.5.0
+fsspec==2024.12.0
+gast==0.6.0
+git-lfs==1.6
+google-pasta==0.2.0
+grpcio==1.71.0
+h5py==3.13.0
+huggingface-hub==0.29.3
+humanize==4.12.2
+idna==3.10
+immutabledict==4.2.1
+importlib_resources==6.5.2
+jax==0.5.3
+jax-cuda12-pjrt==0.5.3
+jax-cuda12-plugin==0.5.3
+jaxlib==0.5.3
+Jinja2==3.1.6
+joblib==1.4.2
+keras==3.9.1
+kiwisolver==1.4.8
+libclang==18.1.1
+lightning-utilities==0.14.2
+lmdb==1.6.2
+Markdown==3.7
+markdown-it-py==3.0.0
+MarkupSafe==3.0.2
+matplotlib==3.10.1
+mdurl==0.1.2
+ml_dtypes==0.5.1
+mpmath==1.3.0
+msgpack==1.1.0
+multidict==6.3.0
+multiprocess==0.70.16
+namex==0.0.8
+nest-asyncio==1.6.0
+networkx==3.4.2
+numpy==1.26.4
+nvidia-cublas-cu12==12.4.5.8
+nvidia-cuda-cupti-cu12==12.4.127
+nvidia-cuda-nvcc-cu12==12.8.93
+nvidia-cuda-nvrtc-cu12==12.4.127
+nvidia-cuda-runtime-cu12==12.4.127
+nvidia-cudnn-cu12==9.1.0.70
+nvidia-cufft-cu12==11.2.1.3
+nvidia-curand-cu12==10.3.5.147
+nvidia-cusolver-cu12==11.6.1.9
+nvidia-cusparse-cu12==12.3.1.170
+nvidia-cusparselt-cu12==0.6.2
+nvidia-nccl-cu12==2.21.5
+nvidia-nvjitlink-cu12==12.4.127
+nvidia-nvtx-cu12==12.4.127
+opencv-python==4.11.0.86
+opencv-python-headless==4.11.0.86
+opt_einsum==3.4.0
+optax==0.2.4
+optree==0.14.1
+orbax-checkpoint==0.11.10
+packaging==24.2
+pandas==2.2.3
+pillow==11.1.0
+promise==2.3
+propcache==0.3.1
+protobuf==3.20.3
+psutil==7.0.0
+py-cpuinfo==9.0.0
+pyarrow==19.0.1
+pycocotools==2.0.8
+pydantic==2.11.1
+pydantic_core==2.33.0
+Pygments==2.19.1
+pyparsing==3.2.3
+python-dateutil==2.9.0.post0
+pytz==2025.2
+PyYAML==6.0.2
+regex==2024.11.6
+requests==2.32.3
+rich==13.9.4
+safetensors==0.5.3
+scikit-learn==1.6.1
+scipy==1.15.2
+seaborn==0.13.2
+simple-parsing==0.1.7
+simplejson==3.20.1
+simsimd==6.2.1
+six==1.17.0
+stringzilla==3.12.3
+sympy==1.13.1
+tensorboard==2.19.0
+tensorboard-data-server==0.7.2
+tensorflow==2.19.0
+tensorflow-datasets==4.9.8
+tensorflow-io-gcs-filesystem==0.37.1
+tensorflow-metadata==1.16.1
+tensorstore==0.1.73
+termcolor==2.5.0
+tf_keras==2.19.0
+threadpoolctl==3.6.0
+timm==1.0.15
+tokenizers==0.21.1
+toml==0.10.2
+toolz==1.0.0
+torch==2.6.0
+torchmetrics==1.7.0
+torchvision==0.21.0
+tqdm==4.67.1
+transformers==4.50.3
+treescope==0.1.9
+triton==3.2.0
+typing-inspection==0.4.0
+typing_extensions==4.13.0
+tzdata==2025.2
+ultralytics==8.3.99
+ultralytics-thop==2.0.14
+urllib3==2.3.0
+Werkzeug==3.1.3
+wrapt==1.17.2
+xxhash==3.5.0
+yarl==1.18.3
+zipp==3.21.0