Merge pull request #2 from vballoli/gh-pages

Add project page

code/CODE_OF_CONDUCT.md

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+# Microsoft Open Source Code of Conduct
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+
+Resources:
+
+- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/)
+- [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+- Contact [[email protected]](mailto:[email protected]) with questions or concerns

code/LICENSE

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+    MIT License
+
+    Copyright (c) Microsoft Corporation.
+
+    Permission is hereby granted, free of charge, to any person obtaining a copy
+    of this software and associated documentation files (the "Software"), to deal
+    in the Software without restriction, including without limitation the rights
+    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+    copies of the Software, and to permit persons to whom the Software is
+    furnished to do so, subject to the following conditions:
+
+    The above copyright notice and this permission notice shall be included in all
+    copies or substantial portions of the Software.
+
+    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+    SOFTWARE

code/README.md

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+# Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
+
+This repository contains code for our paper "Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception" appearing in NeurIPS'23.
+
+## Setup
+
+1. `conda env create -f environment.yml`
+
+## Contributing
+
+This project welcomes contributions and suggestions.  Most contributions require you to agree to a
+Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
+the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
+
+When you submit a pull request, a CLA bot will automatically determine whether you need to provide
+a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
+provided by the bot. You will only need to do this once across all repos using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
+contact [[email protected]](mailto:[email protected]) with any additional questions or comments.
+
+## Trademarks
+
+This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft 
+trademarks or logos is subject to and must follow 
+[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
+Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
+Any use of third-party trademarks or logos are subject to those third-party's policies.

code/SECURITY.md

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+<!-- BEGIN MICROSOFT SECURITY.MD V0.0.9 BLOCK -->
+
+## Security
+
+Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet) and [Xamarin](https://github.com/xamarin).
+
+If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://aka.ms/security.md/definition), please report it to us as described below.
+
+## Reporting Security Issues
+
+**Please do not report security vulnerabilities through public GitHub issues.**
+
+Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://aka.ms/security.md/msrc/create-report).
+
+If you prefer to submit without logging in, send email to [[email protected]](mailto:[email protected]).  If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://aka.ms/security.md/msrc/pgp).
+
+You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://www.microsoft.com/msrc). 
+
+Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:
+
+  * Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
+  * Full paths of source file(s) related to the manifestation of the issue
+  * The location of the affected source code (tag/branch/commit or direct URL)
+  * Any special configuration required to reproduce the issue
+  * Step-by-step instructions to reproduce the issue
+  * Proof-of-concept or exploit code (if possible)
+  * Impact of the issue, including how an attacker might exploit the issue
+
+This information will help us triage your report more quickly.
+
+If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://aka.ms/security.md/msrc/bounty) page for more details about our active programs.
+
+## Preferred Languages
+
+We prefer all communications to be in English.
+
+## Policy
+
+Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://aka.ms/security.md/cvd).
+
+<!-- END MICROSOFT SECURITY.MD BLOCK -->

code/SUPPORT.md

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+# Support
+
+## How to file issues and get help  
+
+Please reach out to Anurag Ghosh or [Vaibhav Balloli](mailto:[email protected]) in case of queries. This project is not actively maintained.
+
+## Microsoft Support Policy  
+
+Support for this **PROJECT or PRODUCT** is limited to the resources listed above.

code/diversity/compute_class_mAP.py

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+import matplotlib.pyplot as plt
+from pycocotools.coco import COCO
+from pycocotools.cocoeval import COCOeval
+import numpy as np
+import json
+import os
+import glob
+import pickle
+import sys
+import cv2
+from PIL import  Image
+import mmcv
+import time
+import pickle
+
+models_name = ['yolo', 'fcos', 'faster_rcnn', 'faster_rcnn_101', 'cascade_rcnn']
+type_data = sys.argv[1]
+
+annType = 'bbox'
+dataDir='../datasets/coco'
+dataType= type_data + '2017'
+
+annFile='{}/annotations/instances_{}.json'.format(dataDir,dataType)
+cocoGt=COCO(annFile)
+YOUR_CAT_IDS = sorted(cocoGt.getCatIds())
+
+out_file  =  "/mnt/IoU_results_coco/" + 'per_class_mAP_' + type_data + '.pkl'
+final_result_dict = {}
+
+for model_name in models_name:
+    print("Here is the model name: ",model_name)
+    resFile = "/mnt/IoU_results_coco/"+ model_name + "/" + type_data + "/" + type_data + ".json"
+    cocoDt=cocoGt.loadRes(resFile)
+    coco_eval = COCOeval(cocoGt, cocoDt, annType) 
+    final_result_dict[model_name] = []
+    stats = []
+    for i in range(len(YOUR_CAT_IDS)):
+        coco_eval.params.catIds = YOUR_CAT_IDS[i]
+        coco_eval.evaluate()
+        coco_eval.accumulate()
+        coco_eval.summarize()
+        stats.append(coco_eval.stats[1])
+
+    final_result_dict[model_name] = stats
+
+print(final_result_dict)
+with open(out_file, 'wb') as handle:
+    pickle.dump(final_result_dict, handle, protocol=pickle.HIGHEST_PROTOCOL)

code/diversity/compute_cosine.py

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+import pickle 
+from scipy import spatial
+import sys
+
+type_data = sys.argv[1]
+models_name = ['yolo', 'fcos', 'faster_rcnn', 'faster_rcnn_101', 'cascade_rcnn']
+input_file_path  =  "/mnt/IoU_results_coco/" + 'per_class_mAP_' + type_data + '.pkl'
+
+with open(input_file_path, 'rb') as handle:
+    final_result_dict = pickle.load(handle)
+
+result_dict = {}
+for model_name_1 in models_name:
+    for model_name_2 in models_name:
+        diff_string = model_name_1 + '_' +model_name_2
+        # result_dict[diff_string] = spatial.distance.cosine(normalize(final_result_dict[model_name_1], norm="l1"), normalize(final_result_dict[model_name_2], norm = "l1"))
+        result_dict[diff_string] = spatial.distance.cosine(final_result_dict[model_name_1], final_result_dict[model_name_2])
+
+print(result_dict)

code/environment.yml

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+name: hams-chanakya
+channels:
+  - defaults
+dependencies:
+  - _libgcc_mutex=0.1=main
+  - ca-certificates=2020.12.8=h06a4308_0
+  - certifi=2020.12.5=py37h06a4308_0
+  - ld_impl_linux-64=2.33.1=h53a641e_7
+  - libedit=3.1.20191231=h14c3975_1
+  - libffi=3.3=he6710b0_2
+  - libgcc-ng=9.1.0=hdf63c60_0
+  - libstdcxx-ng=9.1.0=hdf63c60_0
+  - ncurses=6.2=he6710b0_1
+  - openssl=1.1.1i=h27cfd23_0
+  - pip=20.3.1=py37h06a4308_0
+  - python=3.7.9=h7579374_0
+  - readline=8.0=h7b6447c_0
+  - setuptools=51.0.0=py37h06a4308_2
+  - sqlite=3.33.0=h62c20be_0
+  - tk=8.6.10=hbc83047_0
+  - wheel=0.36.1=pyhd3eb1b0_0
+  - xz=5.2.5=h7b6447c_0
+  - zlib=1.2.11=h7b6447c_3
+  - pip:
+    - absl-py==0.10.0
+    - apache-beam==2.25.0
+    - astunparse==1.6.3
+    - attrs==20.3.0
+    - avro-python3==1.9.2.1
+    - cachetools==4.1.1
+    - cffi==1.14.4
+    - chardet==3.0.4
+    - contextlib2==0.6.0.post1
+    - crcmod==1.7
+    - cycler==0.10.0
+    - cython==0.29.21
+    - dataclasses==0.6
+    - dill==0.3.1.1
+    - dm-tree==0.1.5
+    - docopt==0.6.2
+    - fastavro==1.2.1
+    - future==0.18.2
+    - gast==0.3.3
+    - gin-config==0.4.0
+    - google-api-core==1.23.0
+    - google-api-python-client==1.12.8
+    - google-auth==1.23.0
+    - google-auth-httplib2==0.0.4
+    - google-auth-oauthlib==0.4.2
+    - google-cloud-bigquery==2.6.1
+    - google-cloud-core==1.4.4
+    - google-crc32c==1.0.0
+    - google-pasta==0.2.0
+    - google-resumable-media==1.1.0
+    - googleapis-common-protos==1.52.0
+    - grpcio==1.34.0
+    - h5py==2.10.0
+    - hdfs==2.5.8
+    - httplib2==0.17.4
+    - idna==2.10
+    - importlib-metadata==3.1.1
+    - importlib-resources==3.3.0
+    - kaggle==1.5.10
+    - keras-preprocessing==1.1.2
+    - kiwisolver==1.3.1
+    - lvis==0.5.3
+    - lxml==4.6.2
+    - markdown==3.3.3
+    - matplotlib==3.3.3
+    - mock==2.0.0
+    - numpy==1.18.5
+    - oauth2client==4.1.3
+    - oauthlib==3.1.0
+    - object-detection==0.1
+    - opencv-contrib-python==4.4.0.46
+    - opencv-python==4.4.0.46
+    - opencv-python-headless==4.4.0.46
+    - opt-einsum==3.3.0
+    - pandas==1.1.5
+    - pbr==5.5.1
+    - pillow==8.0.1
+    - promise==2.3
+    - proto-plus==1.13.0
+    - protobuf==3.14.0
+    - psutil==5.7.3
+    - py-cpuinfo==7.0.0
+    - pyarrow==0.17.1
+    - pyasn1==0.4.8
+    - pyasn1-modules==0.2.8
+    - pycparser==2.20
+    - pydot==1.4.1
+    - pymongo==3.11.2
+    - pyparsing==2.4.7
+    - python-dateutil==2.8.1
+    - python-slugify==4.0.1
+    - pytz==2020.4
+    - pyyaml==5.3.1
+    - requests==2.25.0
+    - requests-oauthlib==1.3.0
+    - rsa==4.6
+    - scipy==1.5.4
+    - sentencepiece==0.1.94
+    - six==1.15.0
+    - tensorboard==2.4.0
+    - tensorboard-plugin-wit==1.7.0
+    - tensorflow==2.3.1
+    - tensorflow-addons==0.11.2
+    - tensorflow-datasets==4.1.0
+    - tensorflow-estimator==2.3.0
+    - tensorflow-hub==0.10.0
+    - tensorflow-metadata==0.25.0
+    - tensorflow-model-optimization==0.5.0
+    - termcolor==1.1.0
+    - text-unidecode==1.3
+    - tf-models-official==2.3.0
+    - tf-slim==1.1.0
+    - tqdm==4.54.1
+    - typeguard==2.10.0
+    - typing-extensions==3.7.4.3
+    - uritemplate==3.0.1
+    - urllib3==1.26.2
+    - werkzeug==1.0.1
+    - wrapt==1.12.1
+    - zipp==3.4.0
+prefix: /home/hamsadmin/anaconda3/envs/hams-chanakya

code/sap_eval/chanakya

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+../scale/

code/sap_eval/config.json

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+{
+    "image_service_port": 5007, 
+    "result_service_port": 5008,
+    "loopback_ip": "127.0.0.1"
+}