fix: Realease

.github/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,14 @@
+## Description of the goal of the PR
+
+
+## Changes this PR introduces (fill it before implementation)
+
+- [ ]
+
+## Checklist before requesting a review
+- [ ] The CI pipeline passes
+- [ ] I have typed my code
+- [ ] I have created / updated the docstrings
+- [ ] I have updated the README, if relevant
+- [ ] I have updated the requirements, if relevant
+- [ ] I have tested my code

.github/workflows/ci.yaml

@@ -0,0 +1,35 @@
+name: CI
+
+on:
+  push:
+    branches:
+      - 'develop'
+  pull_request:
+    branches:
+      - '*'
+  workflow_call:
+
+jobs:
+  CI:
+    name: Launching CI
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.10']
+
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install poetry
+        run: make download-poetry
+
+      - name: Install requirements
+        run: |
+          poetry install
+
+      - name: Run Pre commit hooks
+        run: make format-code

.github/workflows/release.yaml

@@ -0,0 +1,37 @@
+# This workflow triggers the CI, updates the version, and uploads the release to GitHub and Google Cloud Storage when a push is made to either the 'main' or 'develop' branch.
+#
+# Workflow Steps:
+#
+# 1. Ci is triggered using the CI workflow defined in .github/workflows/ci.yaml
+# 2. If it succeeds, the version is updated using Python Semantic Release
+# 3. The release is uploaded to GitHub (same step and GitHub action)
+
+name: CI and Release on main
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  CI:
+    uses: ./.github/workflows/ci.yaml
+
+  Release:
+    runs-on: ubuntu-latest
+    concurrency: Release
+    needs: CI
+    permissions:
+      id-token: write
+      contents: write
+
+    steps:
+    - uses: actions/checkout@v4
+      with:
+        fetch-depth: 0
+        token: ${{ secrets.GH_TOKEN }}
+
+    - name: Python Semantic Release
+      uses: python-semantic-release/python-semantic-release@master
+      with:
+        github_token: ${{ secrets.GH_TOKEN }}

.gitignore

@@ -0,0 +1,132 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# Poetry
+poetry.lock

.pre-commit-config.yaml

@@ -0,0 +1,42 @@
+repos:
+  - repo: "https://github.com/pre-commit/pre-commit-hooks"
+    rev: v4.4.0
+    hooks:
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-toml
+      - id: check-yaml
+      - id: check-json
+      - id: check-added-large-files
+  - repo: local
+    hooks:
+      - id: black
+        name: Formatting (black)
+        entry: black
+        types: [python]
+        language: system
+      - id: isort
+        name: Sorting imports (isort)
+        entry: isort
+        types: [python]
+        language: system
+      - id: ruff
+        name: Linting (ruff)
+        entry: ruff
+        types: [python]
+        language: system
+      - id: nbstripout
+        name: Strip Jupyter notebook output (nbstripout)
+        entry: nbstripout
+        types: [file]
+        files: (.ipynb)$
+        language: system
+      - id: pytest-check
+        name: Tests (pytest)
+        stages: [push]
+        entry: pytest tests/
+        types: [python]
+        language: system
+        pass_filenames: false
+        always_run: true
+exclude: ^(.svn|CVS|.bzr|.hg|.git|__pycache__|.tox|.ipynb_checkpoints|assets|tests/assets/|venv/|.venv/)

README.md

@@ -1,6 +1,6 @@
 <div align="center">
 <h2>
-  ByteTrack-Pip: Packaged version of the ByteTrack repository  
+  ByteTrack-Pip: Packaged version of the ByteTrack repository
 </h2>
 <h4>
     <img width="700" alt="teaser" src="assets/demo.gif">
@@ -19,7 +19,7 @@ This repo is a packaged version of the [ByteTrack](https://github.com/ifzhang/By
 pip install bytetracker
 ```
 
-### Detection Model + ByteTrack 
+### Detection Model + ByteTrack
 ```python
 from bytetracker import BYTETracker
 

bytetracker/byte_tracker.py

@@ -1,22 +1,23 @@
 import numpy as np
-import torch
+
 from bytetracker import matching
 from bytetracker.basetrack import BaseTrack, TrackState
 from bytetracker.kalman_filter import KalmanFilter
 
 
 def xywh2xyxy(x):
     # Convert nx4 boxes from [x, y, w, h] to [x1, y1, x2, y2] where xy1=top-left, xy2=bottom-right
-    y = x.clone() if isinstance(x, torch.Tensor) else np.copy(x)
+    y = np.copy(x)
     y[:, 0] = x[:, 0] - x[:, 2] / 2  # top left x
     y[:, 1] = x[:, 1] - x[:, 3] / 2  # top left y
     y[:, 2] = x[:, 0] + x[:, 2] / 2  # bottom right x
     y[:, 3] = x[:, 1] + x[:, 3] / 2  # bottom right y
     return y
 
+
 def xyxy2xywh(x):
     # Convert nx4 boxes from [x1, y1, x2, y2] to [x, y, w, h] where xy1=top-left, xy2=bottom-right
-    y = x.clone() if isinstance(x, torch.Tensor) else np.copy(x)
+    y = np.copy(x)
     y[:, 0] = (x[:, 0] + x[:, 2]) / 2  # x center
     y[:, 1] = (x[:, 1] + x[:, 3]) / 2  # y center
     y[:, 2] = x[:, 2] - x[:, 0]  # width
@@ -28,7 +29,6 @@ class STrack(BaseTrack):
     shared_kalman = KalmanFilter()
 
     def __init__(self, tlwh, score, cls):
-
         # wait activate
         self._tlwh = np.asarray(tlwh, dtype=float)
         self.kalman_filter = None
@@ -53,7 +53,9 @@ def multi_predict(stracks):
             for i, st in enumerate(stracks):
                 if st.state != TrackState.Tracked:
                     multi_mean[i][7] = 0
-            multi_mean, multi_covariance = STrack.shared_kalman.multi_predict(multi_mean, multi_covariance)
+            multi_mean, multi_covariance = STrack.shared_kalman.multi_predict(
+                multi_mean, multi_covariance
+            )
             for i, (mean, cov) in enumerate(zip(multi_mean, multi_covariance)):
                 stracks[i].mean = mean
                 stracks[i].covariance = cov
@@ -98,7 +100,9 @@ def update(self, new_track, frame_id):
         self.cls = new_track.cls
 
         new_tlwh = new_track.tlwh
-        self.mean, self.covariance = self.kalman_filter.update(self.mean, self.covariance, self.tlwh_to_xyah(new_tlwh))
+        self.mean, self.covariance = self.kalman_filter.update(
+            self.mean, self.covariance, self.tlwh_to_xyah(new_tlwh)
+        )
         self.state = TrackState.Tracked
         self.is_activated = True
 
@@ -188,10 +192,6 @@ def update(self, dets, _):
         confs = dets[:, 4]
         clss = dets[:, 5]
 
-        classes = clss.numpy()
-        xyxys = xyxys.numpy()
-        confs = confs.numpy()
-
         remain_inds = confs > self.track_thresh
         inds_low = confs > 0.1
         inds_high = confs < self.track_thresh
@@ -204,8 +204,8 @@ def update(self, dets, _):
         scores_keep = confs[remain_inds]
         scores_second = confs[inds_second]
 
-        clss_keep = classes[remain_inds]
-        clss_second = classes[remain_inds]
+        clss_keep = clss[remain_inds]
+        clss_second = clss[remain_inds]
 
         if len(dets) > 0:
             """Detections"""
@@ -245,10 +245,14 @@ def update(self, dets, _):
         # association the untrack to the low score detections
         if len(dets_second) > 0:
             """Detections"""
-            detections_second = [STrack(xywh, s, c) for (xywh, s, c) in zip(dets_second, scores_second, clss_second)]
+            detections_second = [
+                STrack(xywh, s, c) for (xywh, s, c) in zip(dets_second, scores_second, clss_second)
+            ]
         else:
             detections_second = []
-        r_tracked_stracks = [strack_pool[i] for i in u_track if strack_pool[i].state == TrackState.Tracked]
+        r_tracked_stracks = [
+            strack_pool[i] for i in u_track if strack_pool[i].state == TrackState.Tracked
+        ]
         dists = matching.iou_distance(r_tracked_stracks, detections_second)
         matches, u_track, u_detection_second = matching.linear_assignment(dists, thresh=0.5)
         for itracked, idet in matches:
@@ -303,7 +307,9 @@ def update(self, dets, _):
         self.lost_stracks.extend(lost_stracks)
         self.lost_stracks = sub_stracks(self.lost_stracks, self.removed_stracks)
         self.removed_stracks.extend(removed_stracks)
-        self.tracked_stracks, self.lost_stracks = remove_duplicate_stracks(self.tracked_stracks, self.lost_stracks)
+        self.tracked_stracks, self.lost_stracks = remove_duplicate_stracks(
+            self.tracked_stracks, self.lost_stracks
+        )
         # get scores of lost tracks
         output_stracks = [track for track in self.tracked_stracks if track.is_activated]
         outputs = []