`ultralytics 8.0.78` Docker and confusion matrix updates (#2035)

Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Abdul Manaf <75582860+AbdulManaf12@users.noreply.github.com>

docker/Dockerfile

@@ -9,10 +9,9 @@ FROM pytorch/pytorch:2.0.0-cuda11.7-cudnn8-runtime
 ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
 
 # Install linux packages
-ENV DEBIAN_FRONTEND noninteractive
+# g++ required to build 'tflite_support' package
 RUN apt update
-RUN TZ=Etc/UTC apt install -y tzdata
+    && apt install --no-install-recommends -y gcc git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++
-RUN apt install --no-install-recommends -y gcc git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++
 # RUN alias python=python3
 
 # Security updates
@@ -35,17 +34,14 @@ RUN pip install --no-cache . albumentations comet gsutil notebook tensorboard
 # Set environment variables
 ENV OMP_NUM_THREADS=1
 
-# Cleanup
-ENV DEBIAN_FRONTEND teletype
-
 
 # Usage Examples -------------------------------------------------------------------------------------------------------
-docker pull ultralytics/ultralytics:latest-hub-export-edgetpu-paddle
+
 # Build and Push
 # t=ultralytics/ultralytics:latest && sudo docker build -f docker/Dockerfile -t $t . && sudo docker push $t
 
 # Pull and Run
-# t=ultralytics/ultralytics/ultralytics:latest-hub-export-edgetpu-paddle && sudo docker pull $t && sudo docker run -it --ipc=host $t
+# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host $t
 
 # Pull and Run with local directory access
 # t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/datasets:/usr/src/datasets $t

docker/Dockerfile-arm64

@@ -9,10 +9,8 @@ FROM arm64v8/ubuntu:rolling
 ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
 
 # Install linux packages
-ENV DEBIAN_FRONTEND noninteractive
+RUN apt update \
-RUN apt update
+    && apt install --no-install-recommends -y python3-pip git zip curl htop gcc libgl1-mesa-glx libglib2.0-0 libpython3-dev
-RUN TZ=Etc/UTC apt install -y tzdata
-RUN apt install --no-install-recommends -y python3-pip git zip curl htop gcc libgl1-mesa-glx libglib2.0-0 libpython3-dev
 # RUN alias python=python3
 
 # Create working directory
@@ -28,9 +26,6 @@ ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt /u
 RUN python3 -m pip install --upgrade pip wheel
 RUN pip install --no-cache . albumentations gsutil notebook
 
-# Cleanup
-ENV DEBIAN_FRONTEND teletype
-
 
 # Usage Examples -------------------------------------------------------------------------------------------------------
 

docker/Dockerfile-cpu

@@ -9,10 +9,9 @@ FROM ubuntu:rolling
 ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
 
 # Install linux packages
-ENV DEBIAN_FRONTEND noninteractive
+# g++ required to build 'tflite_support' package
-RUN apt update
+RUN apt update \
-RUN TZ=Etc/UTC apt install -y tzdata
+    && apt install --no-install-recommends -y python3-pip git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++
-RUN apt install --no-install-recommends -y python3-pip git zip curl htop libgl1-mesa-glx libglib2.0-0 libpython3-dev gnupg g++
 # RUN alias python=python3
 
 # Create working directory
@@ -29,9 +28,6 @@ RUN python3 -m pip install --upgrade pip wheel
 RUN pip install --no-cache . albumentations gsutil notebook tensorboard \
         --extra-index-url https://download.pytorch.org/whl/cpu
 
-# Cleanup
-ENV DEBIAN_FRONTEND teletype
-
 
 # Usage Examples -------------------------------------------------------------------------------------------------------
 

ultralytics/__init__.py

@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = '8.0.77'
+__version__ = '8.0.78'
 
 from ultralytics.hub import start
 from ultralytics.yolo.engine.model import YOLO

ultralytics/yolo/engine/validator.py

@@ -174,9 +174,9 @@ class BaseValidator:
             self.run_callbacks('on_val_batch_end')
         stats = self.get_stats()
         self.check_stats(stats)
-        self.print_results()
         self.speed = dict(zip(self.speed.keys(), (x.t / len(self.dataloader.dataset) * 1E3 for x in dt)))
         self.finalize_metrics()
+        self.print_results()
         self.run_callbacks('on_val_end')
         if self.training:
             model.float()

ultralytics/yolo/utils/__init__.py

@@ -220,13 +220,24 @@ def set_logging(name=LOGGING_NAME, verbose=True):
                 'propagate': False}}})
 
 
+class EmojiFilter(logging.Filter):
+    """
+    A custom logging filter class for removing emojis in log messages.
+
+    This filter is particularly useful for ensuring compatibility with Windows terminals
+    that may not support the display of emojis in log messages.
+    """
+
+    def filter(self, record):
+        record.msg = emojis(record.msg)
+        return super().filter(record)
+
+
 # Set logger
 set_logging(LOGGING_NAME, verbose=VERBOSE)  # run before defining LOGGER
 LOGGER = logging.getLogger(LOGGING_NAME)  # define globally (used in train.py, val.py, detect.py, etc.)
 if WINDOWS:  # emoji-safe logging
-    info_fn, warning_fn = LOGGER.info, LOGGER.warning
+    LOGGER.addFilter(EmojiFilter())
-    setattr(LOGGER, info_fn.__name__, lambda x: info_fn(emojis(x)))
-    setattr(LOGGER, warning_fn.__name__, lambda x: warning_fn(emojis(x)))
 
 
 def yaml_save(file='data.yaml', data=None):

ultralytics/yolo/utils/checks.py

@@ -197,7 +197,19 @@ def check_python(minimum: str = '3.7.0') -> bool:
 
 @TryExcept()
 def check_requirements(requirements=ROOT.parent / 'requirements.txt', exclude=(), install=True, cmds=''):
-    # Check installed dependencies meet YOLOv5 requirements (pass *.txt file or list of packages or single package str)
+    """
+    Check if installed dependencies meet YOLOv5 requirements and attempt to auto-update if needed.
+
+    Args:
+        requirements (Union[Path, str, List[str]]): Path to a requirements.txt file, a single package requirement as a
+            string, or a list of package requirements as strings.
+        exclude (Tuple[str]): Tuple of package names to exclude from checking.
+        install (bool): If True, attempt to auto-update packages that don't meet requirements.
+        cmds (str): Additional commands to pass to the pip install command when auto-updating.
+
+    Returns:
+        None
+    """
     prefix = colorstr('red', 'bold', 'requirements:')
     check_python()  # check python version
     file = None
@@ -209,8 +221,8 @@ def check_requirements(requirements=ROOT.parent / 'requirements.txt', exclude=()
     elif isinstance(requirements, str):
         requirements = [requirements]
 
-    s = ''
+    s = ''  # console string
-    n = 0
+    n = 0  # number of packages updates
     for r in requirements:
         try:
             pkg.require(r)
@@ -226,7 +238,7 @@ def check_requirements(requirements=ROOT.parent / 'requirements.txt', exclude=()
         LOGGER.info(f"{prefix} YOLOv8 requirement{'s' * (n > 1)} {s}not found, attempting AutoUpdate...")
         try:
             assert is_online(), 'AutoUpdate skipped (offline)'
-            LOGGER.info(subprocess.check_output(f'pip install {s} {cmds}', shell=True).decode())
+            LOGGER.info(subprocess.check_output(f'pip install --no-cache {s} {cmds}', shell=True).decode())
             s = f"{prefix} {n} package{'s' * (n > 1)} updated per {file or requirements}\n" \
                 f"{prefix} ⚠️ {colorstr('bold', 'Restart runtime or rerun command for updates to take effect')}\n"
             LOGGER.info(s)

ultralytics/yolo/v8/classify/val.py

@@ -12,7 +12,6 @@ class ClassificationValidator(BaseValidator):
         super().__init__(dataloader, save_dir, pbar, args, _callbacks)
         self.args.task = 'classify'
         self.metrics = ClassifyMetrics()
-        self.save_dir = save_dir
 
     def get_desc(self):
         return ('%22s' + '%11s' * 2) % ('classes', 'top1_acc', 'top5_acc')
@@ -37,6 +36,8 @@ class ClassificationValidator(BaseValidator):
 
     def finalize_metrics(self, *args, **kwargs):
         self.confusion_matrix.process_cls_preds(self.pred, self.targets)
+        if self.args.plots:
+            self.confusion_matrix.plot(save_dir=self.save_dir, names=list(self.names.values()))
         self.metrics.speed = self.speed
         self.metrics.confusion_matrix = self.confusion_matrix
 
@@ -55,8 +56,6 @@ class ClassificationValidator(BaseValidator):
     def print_results(self):
         pf = '%22s' + '%11.3g' * len(self.metrics.keys)  # print format
         LOGGER.info(pf % ('all', self.metrics.top1, self.metrics.top5))
-        if self.args.plots:
-            self.confusion_matrix.plot(save_dir=self.save_dir, names=list(self.names.values()))
 
 
 def val(cfg=DEFAULT_CFG, use_python=False):