`ultralytics 8.0.85` docs and events updates (#2189)

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Glenn Jocher 2 years ago committed by GitHub
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@ -0,0 +1,42 @@
User-agent: *
Disallow: /tutorials/pruning-sparsity/
Disallow: /tutorials/nvidia-jetson/
Disallow: /tutorials/training-tips-best-results/
Disallow: /tutorials/hyperparameter-evolution/
Disallow: /callbacks/
Disallow: /config/
Disallow: /tutorials/transfer-learning-froze-layers/
Disallow: /environments/Docker-Quickstart/
Disallow: /tutorials/model-ensembling/
Disallow: /tutorials/test-time-augmentation/
Disallow: /quick-start/
Disallow: /FAQ/augmentation/
Disallow: /environments/AWS-Quickstart/
Disallow: /tutorials/pytorch-hub/
Disallow: /tutorials/torchscript-onnx-coreml-export/
Disallow: /tasks/tracking/
Disallow: /cfg/
Disallow: /tasks/detection/
Disallow: /tutorials/train-custom-datasets/
Disallow: /cli/
Disallow: /tasks/classification/
Disallow: /tutorials/multi-gpu-training/
Disallow: /engine/
Disallow: /tasks/segmentation/
Disallow: /predict/
Disallow: /python/
Disallow: /python
Disallow: /environments/GCP-Quickstart/
Disallow: /cli
Disallow: /tutorials/comet-logging/
Disallow: /cfg
Disallow: /tutorials/architecture-summary/
Disallow: /tutorials/clearml-logging/
Disallow: /sdk/
Disallow: /tutorials/roboflow/
Disallow: /tutorials/training-tips-best-results
Disallow: /package-framework/mock_detector/
Disallow: /package-framework/
Disallow: /tutorials/weights-and-biasis-logging/
Disallow: /tutorials/pruning-sparsity
Disallow: /tutorials/train-custom-datasets

@ -88,6 +88,9 @@ extra:
extra_css:
- stylesheets/style.css
extra_files:
- robots.txt
markdown_extensions:
# Div text decorators
- admonition
@ -123,7 +126,8 @@ plugins:
# Primary navigation
nav:
- Home: index.md
- Home:
- index.md
- Quickstart: quickstart.md
- Modes:
- modes/index.md

@ -1,6 +1,6 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
__version__ = '8.0.84'
__version__ = '8.0.85'
from ultralytics.hub import start
from ultralytics.yolo.engine.model import YOLO

@ -6,7 +6,6 @@ import sys
import threading
import time
from pathlib import Path
from random import random
import requests
from tqdm import tqdm
@ -114,7 +113,7 @@ def smart_request(method, url, retry=3, timeout=30, thread=True, code=-1, verbos
if (time.time() - t0) > timeout:
break
r = requests_with_progress(func_method, func_url, **func_kwargs) # i.e. get(url, data, json, files)
if r.status_code == 200:
if r.status_code < 300: # return codes in the 2xx range are generally considered "good" or "successful"
break
try:
m = r.json().get('message', 'No JSON message.')
@ -142,66 +141,72 @@ def smart_request(method, url, retry=3, timeout=30, thread=True, code=-1, verbos
return func(*args, **kwargs)
class Traces:
class Events:
"""
A class for collecting anonymous event analytics. Event analytics are enabled when sync=True in settings and
disabled when sync=False. Run 'yolo settings' to see and update settings YAML file.
Attributes:
url (str): The GA4 Measurement Protocol URL.
rate_limit (float): The rate limit in seconds for sending events.
metadata (dict): A dictionary containing metadata about the environment.
enabled (bool): A flag to enable or disable Events based on certain conditions.
"""
url = 'https://www.google-analytics.com/mp/collect?measurement_id=G-X8NCJYTQXM&api_secret=QLQrATrNSwGRFRLE-cbHJw'
def __init__(self):
"""
Initialize Traces for error tracking and reporting if tests are not currently running.
Sets the rate limit, timer, and metadata attributes, and determines whether Traces are enabled.
Initializes the Events object with default values for events, rate_limit, and metadata.
"""
self.rate_limit = 60.0 # rate limit (seconds)
self.events = [] # events list
self.rate_limit = 10.0 # rate limit (seconds)
self.t = 0.0 # rate limit timer (seconds)
self.metadata = {
'sys_argv_name': Path(sys.argv[0]).name,
'cli': Path(sys.argv[0]).name == 'yolo',
'install': 'git' if is_git_dir() else 'pip' if is_pip_package() else 'other',
'python': platform.python_version(),
'release': __version__,
'environment': ENVIRONMENT}
'version': __version__,
'env': ENVIRONMENT}
self.enabled = \
SETTINGS['sync'] and \
RANK in (-1, 0) and \
not TESTS_RUNNING and \
ONLINE and \
(is_pip_package() or get_git_origin_url() == 'https://github.com/ultralytics/ultralytics.git')
self._reset_usage()
def __call__(self, cfg, all_keys=False, traces_sample_rate=1.0):
def __call__(self, cfg):
"""
Sync traces data if enabled in the global settings.
Attempts to add a new event to the events list and send events if the rate limit is reached.
Args:
cfg (IterableSimpleNamespace): Configuration for the task and mode.
all_keys (bool): Sync all items, not just non-default values.
traces_sample_rate (float): Fraction of traces captured from 0.0 to 1.0.
cfg: The configuration object containing mode and task information.
"""
# Increment usage
self.usage['modes'][cfg.mode] = self.usage['modes'].get(cfg.mode, 0) + 1
self.usage['tasks'][cfg.task] = self.usage['tasks'].get(cfg.task, 0) + 1
t = time.time() # current time
if not self.enabled or random() > traces_sample_rate:
# Traces disabled or not randomly selected, do nothing
if not self.enabled:
# Events disabled, do nothing
return
elif (t - self.t) < self.rate_limit:
# Time is under rate limiter, do nothing
# Attempt to add to events
if len(self.events) < 25: # Events list limited to 25 events (drop any events past this)
params = {**self.metadata, **{'task': cfg.task}}
if cfg.mode == 'export':
params['format'] = cfg.format
self.events.append({'name': cfg.mode, 'params': params})
# Check rate limit
t = time.time()
if (t - self.t) < self.rate_limit:
# Time is under rate limiter, wait to send
return
else:
# Time is over rate limiter, send trace now
trace = {'uuid': SETTINGS['uuid'], 'usage': self.usage.copy(), 'metadata': self.metadata}
# Send a request to the HUB API to sync analytics
smart_request('post', f'{HUB_API_ROOT}/v1/usage/anonymous', json=trace, code=3, retry=0, verbose=False)
# Time is over rate limiter, send now
data = {'client_id': SETTINGS['uuid'], 'events': self.events} # SHA-256 anonymized UUID hash and events list
smart_request('post', self.url, json=data, retry=0, code=3) # equivalent to requests.post(self.url, json=data)
# Reset usage and rate limit timer
self._reset_usage()
# Reset events and rate limit timer
self.events = []
self.t = t
def _reset_usage(self):
"""Reset the usage dictionary by initializing keys for each task and mode with a value of 0."""
from ultralytics.yolo.cfg import MODES, TASKS
self.usage = {'tasks': {k: 0 for k in TASKS}, 'modes': {k: 0 for k in MODES}}
# Run below code on hub/utils init -------------------------------------------------------------------------------------
traces = Traces()
events = Events()

@ -670,7 +670,7 @@ def get_settings(file=SETTINGS_YAML, version='0.0.3'):
'datasets_dir': str(datasets_root / 'datasets'), # default datasets directory.
'weights_dir': str(root / 'weights'), # default weights directory.
'runs_dir': str(root / 'runs'), # default runs directory.
'uuid': hashlib.sha256(str(uuid.getnode()).encode()).hexdigest(), # anonymized uuid hash
'uuid': hashlib.sha256(str(uuid.getnode()).encode()).hexdigest(), # SHA-256 anonymized UUID hash
'sync': True, # sync analytics to help with YOLO development
'api_key': '', # Ultralytics HUB API key (https://hub.ultralytics.com/)
'settings_version': version} # Ultralytics settings version

@ -196,16 +196,16 @@ def add_integration_callbacks(instance):
instance (Trainer, Predictor, Validator, Exporter): An object with a 'callbacks' attribute that is a dictionary
of callback lists.
"""
from .clearml import callbacks as clearml_callbacks
from .comet import callbacks as comet_callbacks
from .hub import callbacks as hub_callbacks
from .mlflow import callbacks as mf_callbacks
from .neptune import callbacks as neptune_callbacks
from .raytune import callbacks as tune_callbacks
from .tensorboard import callbacks as tb_callbacks
from .wb import callbacks as wb_callbacks
for x in clearml_callbacks, comet_callbacks, hub_callbacks, tb_callbacks, mf_callbacks, tune_callbacks, wb_callbacks, neptune_callbacks:
from .clearml import callbacks as clearml_cb
from .comet import callbacks as comet_cb
from .hub import callbacks as hub_cb
from .mlflow import callbacks as mlflow_cb
from .neptune import callbacks as neptune_cb
from .raytune import callbacks as tune_cb
from .tensorboard import callbacks as tensorboard_cb
from .wb import callbacks as wb_cb
for x in clearml_cb, comet_cb, hub_cb, mlflow_cb, neptune_cb, tune_cb, tensorboard_cb, wb_cb:
for k, v in x.items():
if v not in instance.callbacks[k]: # prevent duplicate callbacks addition
instance.callbacks[k].append(v) # callback[name].append(func)

@ -3,7 +3,7 @@
import json
from time import time
from ultralytics.hub.utils import PREFIX, traces
from ultralytics.hub.utils import PREFIX, events
from ultralytics.yolo.utils import LOGGER
from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params
@ -61,23 +61,23 @@ def on_train_end(trainer):
def on_train_start(trainer):
"""Run traces on train start."""
traces(trainer.args, traces_sample_rate=1.0)
"""Run events on train start."""
events(trainer.args)
def on_val_start(validator):
"""Runs traces on validation start."""
traces(validator.args, traces_sample_rate=1.0)
"""Runs events on validation start."""
events(validator.args)
def on_predict_start(predictor):
"""Run traces on predict start."""
traces(predictor.args, traces_sample_rate=1.0)
"""Run events on predict start."""
events(predictor.args)
def on_export_start(exporter):
"""Run traces on export start."""
traces(exporter.args, traces_sample_rate=1.0)
"""Run events on export start."""
events(exporter.args)
callbacks = {

@ -128,8 +128,9 @@ def check_latest_pypi_version(package_name='ultralytics'):
Returns:
(str): The latest version of the package.
"""
with contextlib.suppress(Exception):
requests.packages.urllib3.disable_warnings() # Disable the InsecureRequestWarning
response = requests.get(f'https://pypi.org/pypi/{package_name}/json', verify=False)
response = requests.get(f'https://pypi.org/pypi/{package_name}/json', timeout=3)
if response.status_code == 200:
return response.json()['info']['version']
return None

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