Update Comet integration (#11648)

* Update Comet

* Update Comet

* Update Comet

* Add default Experiment Name

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update tutorial.ipynb

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

segment/tutorial.ipynb

@@ -63,7 +63,7 @@
       "source": [
         "!git clone https://github.com/ultralytics/yolov5  # clone\n",
         "%cd yolov5\n",
-        "%pip install -qr requirements.txt  # install\n",
+        "%pip install -qr requirements.txt comet_ml  # install\n",
         "\n",
         "import torch\n",
         "import utils\n",

train.py

@@ -26,6 +26,11 @@ from copy import deepcopy
 from datetime import datetime
 from pathlib import Path
 
+try:
+    import comet_ml  # must be imported before torch (if installed)
+except ImportError:
+    comet_ml = None
+
 import numpy as np
 import torch
 import torch.distributed as dist

tutorial.ipynb

@@ -59,7 +59,7 @@
       "source": [
         "!git clone https://github.com/ultralytics/yolov5  # clone\n",
         "%cd yolov5\n",
-        "%pip install -qr requirements.txt  # install\n",
+        "%pip install -qr requirements.txt comet_ml  # install\n",
         "\n",
         "import torch\n",
         "import utils\n",

utils/__init__.py

@@ -54,7 +54,7 @@ def notebook_init(verbose=True):
     import os
     import shutil
 
-    from utils.general import check_font, check_requirements, is_colab
+    from utils.general import check_font, is_colab
     from utils.torch_utils import select_device  # imports
 
     check_font()

utils/loggers/__init__.py

@@ -46,15 +46,15 @@ except (ImportError, AssertionError):
     clearml = None
 
 try:
-    if RANK not in [0, -1]:
-        comet_ml = None
-    else:
+    if RANK in {0, -1}:
         import comet_ml
 
         assert hasattr(comet_ml, '__version__')  # verify package import not local dir
         from utils.loggers.comet import CometLogger
 
-except (ModuleNotFoundError, ImportError, AssertionError):
+    else:
+        comet_ml = None
+except (ImportError, AssertionError):
     comet_ml = None
 
 
@@ -88,10 +88,6 @@ class Loggers():
         self.csv = True  # always log to csv
 
         # Messages
-        if not clearml:
-            prefix = colorstr('ClearML: ')
-            s = f"{prefix}run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5 🚀 in ClearML"
-            self.logger.info(s)
         if not comet_ml:
             prefix = colorstr('Comet: ')
             s = f"{prefix}run 'pip install comet_ml' to automatically track and visualize YOLOv5 🚀 runs in Comet"

utils/loggers/comet/__init__.py

@@ -18,7 +18,7 @@ try:
     # Project Configuration
     config = comet_ml.config.get_config()
     COMET_PROJECT_NAME = config.get_string(os.getenv('COMET_PROJECT_NAME'), 'comet.project_name', default='yolov5')
-except (ModuleNotFoundError, ImportError):
+except ImportError:
     comet_ml = None
     COMET_PROJECT_NAME = None
 
@@ -82,7 +82,7 @@ class CometLogger:
         self.comet_log_batch_interval = COMET_BATCH_LOGGING_INTERVAL
 
         # Dataset Artifact Settings
-        self.upload_dataset = self.opt.upload_dataset if self.opt.upload_dataset else COMET_UPLOAD_DATASET
+        self.upload_dataset = self.opt.upload_dataset or COMET_UPLOAD_DATASET
         self.resume = self.opt.resume
 
         # Default parameters to pass to Experiment objects
@@ -93,6 +93,7 @@ class CometLogger:
             'project_name': COMET_PROJECT_NAME,}
         self.default_experiment_kwargs.update(experiment_kwargs)
         self.experiment = self._get_experiment(self.comet_mode, run_id)
+        self.experiment.set_name(self.opt.name)
 
         self.data_dict = self.check_dataset(self.opt.data)
         self.class_names = self.data_dict['names']