Update MANIFEST.in (#4894)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.github/workflows/publish.yml

@@ -38,12 +38,11 @@ jobs:
         shell: python
         run: |
           import os
-          import pkg_resources as pkg
           import ultralytics
           from ultralytics.utils.checks import check_latest_pypi_version
 
-          v_local = pkg.parse_version(ultralytics.__version__).release
+          v_local = tuple(map(int, ultralytics.__version__.split('.')))
-          v_pypi = pkg.parse_version(check_latest_pypi_version()).release
+          v_pypi = tuple(map(int, check_latest_pypi_version().split('.')))
           print(f'Local version is {v_local}')
           print(f'PyPI version is {v_pypi}')
           d = [a - b for a, b in zip(v_local, v_pypi)]  # diff

MANIFEST.in

@@ -2,7 +2,4 @@ include *.md
 include requirements.txt
 include LICENSE
 include setup.py
-include ultralytics/assets/bus.jpg
-include ultralytics/assets/zidane.jpg
-recursive-include ultralytics *.yaml
 recursive-exclude __pycache__ *

docs/hub/index.md

@@ -1,6 +1,6 @@
 ---
 comments: true
-description: Gain seamless experience in training and deploying your YOLOv5 and YOLOv8 models with Ultralytics HUB. Explore pre-trained models, templates and various integrations.
+description: Gain insights into training and deploying your YOLOv5 and YOLOv8 models with Ultralytics HUB. Explore pre-trained models, templates and various integrations.
 keywords: Ultralytics HUB, YOLOv5, YOLOv8, model training, model deployment, pretrained models, model integrations
 ---
 

setup.py

@@ -3,7 +3,7 @@
 import re
 from pathlib import Path
 
-from setuptools import setup
+from setuptools import find_packages, setup
 
 # Settings
 FILE = Path(__file__).resolve()
@@ -36,33 +36,6 @@ def parse_requirements(file_path: Path):
     return requirements
 
 
-def find_packages(start_dir, exclude=()):
-    """
-    Custom implementation of setuptools.find_packages(). Finds all Python packages in a directory.
-
-    Args:
-        start_dir (str | Path, optional): The directory where the search will start. Defaults to the current directory.
-        exclude (list | tuple, optional): List of package names to exclude. Defaults to None.
-
-    Returns:
-        List[str]: List of package names.
-    """
-
-    packages = []
-    start_dir = Path(start_dir)
-    root_package = start_dir.name
-
-    if '__init__.py' in [child.name for child in start_dir.iterdir()]:
-        packages.append(root_package)
-    for package in start_dir.rglob('*'):
-        if package.is_dir() and '__init__.py' in [child.name for child in package.iterdir()]:
-            package_name = f"{root_package}.{package.relative_to(start_dir).as_posix().replace('/', '.')}"
-            if package_name not in exclude:
-                packages.append(package_name)
-
-    return packages
-
-
 setup(
     name='ultralytics',  # name of pypi package
     version=get_version(),  # version of pypi package
@@ -79,7 +52,10 @@ setup(
         'Source': 'https://github.com/ultralytics/ultralytics'},
     author='Ultralytics',
     author_email='hello@ultralytics.com',
-    packages=find_packages(start_dir='ultralytics'),  # required
+    packages=find_packages(),  # required
+    package_data={
+        '': ['*.yaml'],
+        'ultralytics.assets': ['*.jpg']},
     include_package_data=True,
     install_requires=parse_requirements(PARENT / 'requirements.txt'),
     extras_require={

ultralytics/engine/trainer.py

@@ -426,7 +426,7 @@ class BaseTrainer:
         """Save model training checkpoints with additional metadata."""
         import pandas as pd  # scope for faster startup
         metrics = {**self.metrics, **{'fitness': self.fitness}}
-        results = {k.strip(): v for k, v in pd.read_csv(self.save_dir / 'results.csv').to_dict(orient='list').items()}
+        results = {k.strip(): v for k, v in pd.read_csv(self.csv).to_dict(orient='list').items()}
         ckpt = {
             'epoch': self.epoch,
             'best_fitness': self.best_fitness,

ultralytics/trackers/README.md

@@ -1,7 +1,3 @@
-______________________________________________________________________
-
-## comments: true description: Learn how to use Ultralytics YOLO for object tracking in video streams. Guides to use different trackers and customise tracker configurations. keywords: Ultralytics, YOLO, object tracking, video streams, BoT-SORT, ByteTrack, Python guide, CLI guide
-
 # Multi-Object Tracking with Ultralytics YOLO
 
 <img width="1024" src="https://user-images.githubusercontent.com/26833433/243418637-1d6250fd-1515-4c10-a844-a32818ae6d46.png">

ultralytics/utils/callbacks/dvc.py

@@ -11,15 +11,12 @@ try:
 
     import os
     import re
-    from importlib.metadata import version
     from pathlib import Path
 
-    import pkg_resources as pkg
+    from ultralytics.utils.checks import check_version
 
-    ver = version('dvclive')
+    if not check_version(dvclive.__version__, '2.11.0', name='dvclive', verbose=True):
-    if pkg.parse_version(ver) < pkg.parse_version('2.11.0'):
+        dvclive = None
-        LOGGER.debug(f'DVCLive is detected but version {ver} is incompatible (>=2.11 required).')
-        dvclive = None  # noqa: F811
 
     # DVCLive logger instance
     live = None
@@ -74,9 +71,7 @@ def on_pretrain_routine_start(trainer):
     try:
         global live
         live = dvclive.Live(save_dvc_exp=True, cache_images=True)
-        LOGGER.info(
+        LOGGER.info("DVCLive is detected and auto logging is enabled (run 'yolo settings dvc=False' to disable).")
-            f'DVCLive is detected and auto logging is enabled (can be disabled in the {SETTINGS.file} with `dvc: false`).'
-        )
     except Exception as e:
         LOGGER.warning(f'WARNING ⚠️ DVCLive installed but not initialized correctly, not logging this run. {e}')
 

ultralytics/utils/checks.py

@@ -1,4 +1,5 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
+
 import contextlib
 import glob
 import inspect
@@ -15,7 +16,6 @@ from typing import Optional
 import cv2
 import numpy as np
 import pkg_resources as pkg
-import psutil
 import requests
 import torch
 from matplotlib import font_manager
@@ -141,7 +141,7 @@ def check_version(current: str = '0.0.0',
         elif op == '<' and not (current < version):
             result = False
     if not result:
-        warning_message = f'WARNING ⚠️ {name}{required} is required, but {name}{current} is currently installed'
+        warning_message = f'WARNING ⚠️ {name}{op}{required} is required, but {name}=={current} is currently installed'
         if hard:
             raise ModuleNotFoundError(emojis(warning_message))  # assert version requirements met
         if verbose:
@@ -321,7 +321,7 @@ def check_torchvision():
 
     if v_torch in compatibility_table:
         compatible_versions = compatibility_table[v_torch]
-        if all(pkg.parse_version(v_torchvision) != pkg.parse_version(v) for v in compatible_versions):
+        if all(v_torchvision != v for v in compatible_versions):
             print(f'WARNING ⚠️ torchvision=={v_torchvision} is incompatible with torch=={v_torch}.\n'
                   f"Run 'pip install torchvision=={compatible_versions[0]}' to fix torchvision or "
                   "'pip install -U torch torchvision' to update both.\n"
@@ -404,6 +404,8 @@ def check_imshow(warn=False):
 
 def check_yolo(verbose=True, device=''):
     """Return a human-readable YOLO software and hardware summary."""
+    import psutil
+
     from ultralytics.utils.torch_utils import select_device
 
     if is_jupyter():