Detect.py supports running against a Triton container (#9228)

* update coco128-seg comments

* Enables detect.py to use Triton for inference

Triton Inference Server is an open source inference serving software
that streamlines AI inferencing.
https://github.com/triton-inference-server/server

The user can now provide a "--triton-url" argument to detect.py to use
a local or remote Triton server for inference.
For e.g., http://localhost:8000 will use http over port 8000
and grpc://localhost:8001 will use grpc over port 8001.
Note, it is not necessary to specify a weights file to use Triton.

A Triton container can be created by first exporting the Yolov5 model
to a Triton supported runtime. Onnx, Torchscript, TensorRT are
supported by both Triton and the export.py script.

The exported model can then be containerized via the OctoML CLI.
See https://github.com/octoml/octo-cli#getting-started for a guide.

* added triton client to requirements

* fixed support for TFSavedModels in Triton

* reverted change

* Test CoreML update

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

* Update ci-testing.yml

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

* Use pathlib

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

* Refacto DetectMultiBackend to directly accept triton url as --weights http://...

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

* Deploy category

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

* Update detect.py

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

* Update common.py

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

* Update common.py

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

* Update predict.py

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

* Update predict.py

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

* Update predict.py

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

* Update triton.py

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

* Update triton.py

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

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

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

* Add printout and requirements check

* Cleanup

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

* triton fixes

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

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

* fixed triton model query over grpc

* Update check_requirements('tritonclient[all]')

* group imports

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

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

* Fix likely remote URL bug

* update comment

* Update is_url()

* Fix 2x download attempt on http://path/to/model.pt

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

utils/downloads.py

@@ -16,13 +16,13 @@ import requests
 import torch
 
 
-def is_url(url, check_exists=True):
+def is_url(url, check=True):
     # Check if string is URL and check if URL exists
     try:
         url = str(url)
         result = urllib.parse.urlparse(url)
         assert all([result.scheme, result.netloc, result.path])  # check if is url
-        return (urllib.request.urlopen(url).getcode() == 200) if check_exists else True  # check if exists online
+        return (urllib.request.urlopen(url).getcode() == 200) if check else True  # check if exists online
     except (AssertionError, urllib.request.HTTPError):
         return False