YOLOv9下载安装运行

1、进入GitHub的YOLOv9官网

https://github.com/WongKinYiu/yolov9

在这里插入图片描述

2、clone或下载项目

https://github.com/WongKinYiu/yolov9.git

https://codeload.github.com/WongKinYiu/yolov9/zip/refs/heads/main

在这里插入图片描述
2.1、进入控制台下载项目

git clone https://github.com/WongKinYiu/yolov9.git

在这里插入图片描述

3、环境配置

3.1、cd到项目目录

cd yolov9

3.2、创建conda环境

conda create -n yolov9 python=3.8

3.3、激活环境

conda activate yolov9

3.4、清华镜像加速配置环境

pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

3.5、选择一个下载yolov9模型放入yolov9目录下

https://objects.githubusercontent.com/github-production-release-asset-2e65be/759338070/adb10748-4752-406a-821d-a08d784c334e?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=releaseassetproduction%2F20241014%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20241014T052609Z&X-Amz-Expires=300&X-Amz-Signature=3008d628cad0835ad4371fefbf8933fdd63c5e99e3816a92a2966eb96d3ac567&X-Amz-SignedHeaders=host&response-content-disposition=attachment%3B%20filename%3Dyolov9-s-converted.pt&response-content-type=application%2Foctet-stream

在这里插入图片描述
3.6、修改配置文件
修改模型位置名称

'--weights', nargs='+', type=str, default=ROOT / 'yolov9-s-converted.pt', help='model path or triton URL'

def parse_opt():
    parser = argparse.ArgumentParser()
    parser.add_argument('--weights', nargs='+', type=str, default=ROOT / 'yolov9-s-converted.pt', help='model path or triton URL')
    parser.add_argument('--source', type=str, default=ROOT / 'data/images', help='file/dir/URL/glob/screen/0(webcam)')
    parser.add_argument('--data', type=str, default=ROOT / 'data/coco128.yaml', help='(optional) dataset.yaml path')
    parser.add_argument('--imgsz', '--img', '--img-size', nargs='+', type=int, default=[640], help='inference size h,w')

或者将下载后的模型文件改名为

yolo.pt

在这里插入图片描述

3.7、运行推理
输入命令

detect.py

3.8、查看推理结果在runs文件夹下

..\yolov9\runs\detect\exp

请添加图片描述

可能出现问题

1、‘E:\new’: No such file or directory

detect: weights=["'./yolov9-s-converted.pt'"], source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
fatal: cannot change to 'E:\new': No such file or directory
YOLO  2024-10-14 Python-3.8.20 torch-2.4.1+cpu CPU

Traceback (most recent call last):
  File "detect.py", line 231, in <module>
    main(opt)
  File "detect.py", line 226, in main
    run(**vars(opt))
  File "E:\users\86170\anaconda3\envs\yolov9\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "detect.py", line 68, in run
    model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
  File "E:\new work space\python\yolov9\models\common.py", line 696, in __init__
    pt, jit, onnx, onnx_end2end, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs, paddle, triton = self._model_type(w)
  File "E:\new work space\python\yolov9\models\common.py", line 967, in _model_type
    check_suffix(p, sf)  # checks
  File "E:\new work space\python\yolov9\utils\general.py", line 447, in check_suffix
    assert s in suffix, f"{msg}{f} acceptable suffix is {suffix}"
AssertionError: './yolov9-s-converted.pt' acceptable suffix is ['.pt', '.torchscript', '.onnx', '_end2end.onnx', '_openvino_model', '.engine', '.mlmodel', '_saved_model', '.pb', '.tflite', '_edgetpu.tflite', '_web_model', '_paddle_model']

原因目录中存在空格，文件路径中文件夹名存在空格
解决方式切换无空格的目录

log

Microsoft Windows [版本 10.0.19042.1706]
(c) Microsoft Corporation。保留所有权利。

E:\new work space\python>https://github.com/WongKinYiu/yolov9.git
'https:' 不是内部或外部命令，也不是可运行的程序
或批处理文件。

E:\new work space\python>clone https://github.com/WongKinYiu/yolov9.git
'clone' 不是内部或外部命令，也不是可运行的程序
或批处理文件。

E:\new work space\python>gie clone https://github.com/WongKinYiu/yolov9.git
'gie' 不是内部或外部命令，也不是可运行的程序
或批处理文件。

E:\new work space\python>git clone https://github.com/WongKinYiu/yolov9.git
Cloning into 'yolov9'...
remote: Enumerating objects: 781, done.
remote: Total 781 (delta 0), reused 0 (delta 0), pack-reused 781 (from 1)
Receiving objects: 100% (781/781), 3.27 MiB | 562.00 KiB/s, done.
Resolving deltas: 100% (330/330), done.

E:\new work space\python>cd yolov9

E:\new work space\python\yolov9>conda create -n yolov9 python=3.8
Channels:
 - defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: E:\users\86170\anaconda3\envs\yolov9

  added / updated specs:
    - python=3.8


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    pip-24.2                   |   py38haa95532_0         2.4 MB
    python-3.8.20              |       h8205438_0        19.4 MB
    setuptools-75.1.0          |   py38haa95532_0         1.6 MB
    vc-14.40                   |       h2eaa2aa_1          10 KB
    vs2015_runtime-14.40.33807 |       h98bb1dd_1         1.3 MB
    wheel-0.44.0               |   py38haa95532_0         137 KB
    ------------------------------------------------------------
                                           Total:        24.8 MB

The following NEW packages will be INSTALLED:

  ca-certificates    pkgs/main/win-64::ca-certificates-2024.9.24-haa95532_0
  libffi             pkgs/main/win-64::libffi-3.4.4-hd77b12b_1
  openssl            pkgs/main/win-64::openssl-3.0.15-h827c3e9_0
  pip                pkgs/main/win-64::pip-24.2-py38haa95532_0
  python             pkgs/main/win-64::python-3.8.20-h8205438_0
  setuptools         pkgs/main/win-64::setuptools-75.1.0-py38haa95532_0
  sqlite             pkgs/main/win-64::sqlite-3.45.3-h2bbff1b_0
  vc                 pkgs/main/win-64::vc-14.40-h2eaa2aa_1
  vs2015_runtime     pkgs/main/win-64::vs2015_runtime-14.40.33807-h98bb1dd_1
  wheel              pkgs/main/win-64::wheel-0.44.0-py38haa95532_0


Proceed ([y]/n)? y


Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate yolov9
#
# To deactivate an active environment, use
#
#     $ conda deactivate


E:\new work space\python\yolov9>conda activate yolov9

(yolov9) E:\new work space\python\yolov9>pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
Looking in indexes: https://mirrors.aliyun.com/pypi/simple/
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /pypi/simple/gitpython/
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /pypi/simple/gitpython/
WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /pypi/simple/gitpython/
WARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /pypi/simple/gitpython/
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /pypi/simple/gitpython/
Could not fetch URL https://mirrors.aliyun.com/pypi/simple/gitpython/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='mirrors.aliyun.com', port=443): Max retries exceeded with url: /pypi/simple/gitpython/ (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))) - skipping
ERROR: Could not find a version that satisfies the requirement gitpython (from versions: none)
Could not fetch URL https://mirrors.aliyun.com/pypi/simple/pip/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='mirrors.aliyun.com', port=443): Max retries exceeded with url: /pypi/simple/pip/ (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))) - skipping
ERROR: No matching distribution found for gitpython

(yolov9) E:\new work space\python\yolov9>pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simpl
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simpl
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simpl/gitpython/
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simpl/gitpython/
WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simpl/gitpython/
WARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simpl/gitpython/
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simpl/gitpython/
Could not fetch URL https://pypi.tuna.tsinghua.edu.cn/simpl/gitpython/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.tuna.tsinghua.edu.cn', port=443): Max retries exceeded with url: /simpl/gitpython/ (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))) - skipping
ERROR: Could not find a version that satisfies the requirement gitpython (from versions: none)
Could not fetch URL https://pypi.tuna.tsinghua.edu.cn/simpl/pip/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.tuna.tsinghua.edu.cn', port=443): Max retries exceeded with url: /simpl/pip/ (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))) - skipping
ERROR: No matching distribution found for gitpython

(yolov9) E:\new work space\python\yolov9>pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simp
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simp
WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simp/gitpython/
WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simp/gitpython/
WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simp/gitpython/
WARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simp/gitpython/
WARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))': /simp/gitpython/
Could not fetch URL https://pypi.tuna.tsinghua.edu.cn/simp/gitpython/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.tuna.tsinghua.edu.cn', port=443): Max retries exceeded with url: /simp/gitpython/ (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))) - skipping
ERROR: Could not find a version that satisfies the requirement gitpython (from versions: none)
Could not fetch URL https://pypi.tuna.tsinghua.edu.cn/simp/pip/: There was a problem confirming the ssl certificate: HTTPSConnectionPool(host='pypi.tuna.tsinghua.edu.cn', port=443): Max retries exceeded with url: /simp/pip/ (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))) - skipping
ERROR: No matching distribution found for gitpython

(yolov9) E:\new work space\python\yolov9>pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting gitpython (from -r requirements.txt (line 5))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/e9/bd/cc3a402a6439c15c3d4294333e13042b915bbeab54edc457c723931fed3f/GitPython-3.1.43-py3-none-any.whl (207 kB)
Collecting ipython (from -r requirements.txt (line 6))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/8d/97/8fe103906cd81bc42d3b0175b5534a9f67dccae47d6451131cf8d0d70bb2/ipython-8.12.3-py3-none-any.whl (798 kB)
Collecting matplotlib>=3.2.2 (from -r requirements.txt (line 7))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/16/51/58b0b9de42fe1e665736d9286f88b5f1556a0e22bed8a71f468231761083/matplotlib-3.7.5-cp38-cp38-win_amd64.whl (7.5 MB)
Collecting numpy>=1.18.5 (from -r requirements.txt (line 8))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/69/65/0d47953afa0ad569d12de5f65d964321c208492064c38fe3b0b9744f8d44/numpy-1.24.4-cp38-cp38-win_amd64.whl (14.9 MB)
Collecting opencv-python>=4.1.1 (from -r requirements.txt (line 9))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ec/6c/fab8113424af5049f85717e8e527ca3773299a3c6b02506e66436e19874f/opencv_python-4.10.0.84-cp37-abi3-win_amd64.whl (38.8 MB)
     ---------------------------------------- 38.8/38.8 MB 11.4 MB/s eta 0:00:00
Collecting Pillow>=7.1.2 (from -r requirements.txt (line 10))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f2/75/3cb820b2812405fc7feb3d0deb701ef0c3de93dc02597115e00704591bc9/pillow-10.4.0-cp38-cp38-win_amd64.whl (2.6 MB)
     ---------------------------------------- 2.6/2.6 MB 10.5 MB/s eta 0:00:00
Collecting psutil (from -r requirements.txt (line 11))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/73/44/561092313ae925f3acfaace6f9ddc4f6a9c748704317bad9c8c8f8a36a79/psutil-6.0.0-cp37-abi3-win_amd64.whl (257 kB)
Collecting PyYAML>=5.3.1 (from -r requirements.txt (line 12))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/75/8a/ee831ad5fafa4431099aa4e078d4c8efd43cd5e48fbc774641d233b683a9/PyYAML-6.0.2-cp38-cp38-win_amd64.whl (162 kB)
Collecting requests>=2.23.0 (from -r requirements.txt (line 13))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl (64 kB)
Collecting scipy>=1.4.1 (from -r requirements.txt (line 14))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/32/8e/7f403535ddf826348c9b8417791e28712019962f7e90ff845896d6325d09/scipy-1.10.1-cp38-cp38-win_amd64.whl (42.2 MB)
Collecting thop>=0.1.1 (from -r requirements.txt (line 15))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/bb/0f/72beeab4ff5221dc47127c80f8834b4bcd0cb36f6ba91c0b1d04a1233403/thop-0.1.1.post2209072238-py3-none-any.whl (15 kB)
Collecting torch>=1.7.0 (from -r requirements.txt (line 16))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9d/58/37166e7f71cd35e7f76d462fa058758a0aa6c31c1a7e26290f7898d37360/torch-2.4.1-cp38-cp38-win_amd64.whl (199.4 MB)
     ---------------------------------------- 199.4/199.4 MB 10.2 MB/s eta 0:00:00
Collecting torchvision>=0.8.1 (from -r requirements.txt (line 17))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f6/4e/17d3137e893e878d2c165268b3f80d59e306e1ac1e0d89d8cccb27cc1d76/torchvision-0.19.1-cp38-cp38-win_amd64.whl (1.3 MB)
     ---------------------------------------- 1.3/1.3 MB 8.2 MB/s eta 0:00:00
Collecting tqdm>=4.64.0 (from -r requirements.txt (line 18))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/48/5d/acf5905c36149bbaec41ccf7f2b68814647347b72075ac0b1fe3022fdc73/tqdm-4.66.5-py3-none-any.whl (78 kB)
Collecting tensorboard>=2.4.1 (from -r requirements.txt (line 22))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/bc/a2/ff5f4c299eb37c95299a76015da3f30211468e29d8d6f1d011683279baee/tensorboard-2.14.0-py3-none-any.whl (5.5 MB)
Collecting pandas>=1.1.4 (from -r requirements.txt (line 27))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/c3/6c/ea362eef61f05553aaf1a24b3e96b2d0603f5dc71a3bd35688a24ed88843/pandas-2.0.3-cp38-cp38-win_amd64.whl (10.8 MB)
Collecting seaborn>=0.11.0 (from -r requirements.txt (line 28))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/83/11/00d3c3dfc25ad54e731d91449895a79e4bf2384dc3ac01809010ba88f6d5/seaborn-0.13.2-py3-none-any.whl (294 kB)
Collecting albumentations>=1.0.3 (from -r requirements.txt (line 46))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c5/2f/468208ac3345b59286f5a73dd6e298c111c8a6a5896f658d221cd55ebf8d/albumentations-1.4.18-py3-none-any.whl (224 kB)
Collecting pycocotools>=2.0 (from -r requirements.txt (line 47))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/85/1a/f3f95a5c994be2b554f370ac314b034d43d82c69be3fd40fabed5cfd5347/pycocotools-2.0.7-cp38-cp38-win_amd64.whl (85 kB)
Collecting gitdb<5,>=4.0.1 (from gitpython->-r requirements.txt (line 5))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/fd/5b/8f0c4a5bb9fd491c277c21eff7ccae71b47d43c4446c9d0c6cff2fe8c2c4/gitdb-4.0.11-py3-none-any.whl (62 kB)
Collecting backcall (from ipython->-r requirements.txt (line 6))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/4c/1c/ff6546b6c12603d8dd1070aa3c3d273ad4c07f5771689a7b69a550e8c951/backcall-0.2.0-py2.py3-none-any.whl (11 kB)
Collecting decorator (from ipython->-r requirements.txt (line 6))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d5/50/83c593b07763e1161326b3b8c6686f0f4b0f24d5526546bee538c89837d6/decorator-5.1.1-py3-none-any.whl (9.1 kB)
Collecting jedi>=0.16 (from ipython->-r requirements.txt (line 6))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/20/9f/bc63f0f0737ad7a60800bfd472a4836661adae21f9c2535f3957b1e54ceb/jedi-0.19.1-py2.py3-none-any.whl (1.6 MB)
Collecting matplotlib-inline (from ipython->-r requirements.txt (line 6))
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/8f/8e/9ad090d3553c280a8060fbf6e24dc1c0c29704ee7d1c372f0c174aa59285/matplotlib_inline-0.1.7-py3-none-any.whl (9.9 kB)
Collecting pickleshare (from ipython->-r requirements.txt (line 6))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/9a/41/220f49aaea88bc6fa6cba8d05ecf24676326156c23b991e80b3f2fc24c77/pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB)
Collecting prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30 (from ipython->-r requirements.txt (line 6))
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Collecting oauthlib>=3.0.0 (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard>=2.4.1->-r requirements.txt (line 22))
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7e/80/cab10959dc1faead58dc8384a781dfbf93cb4d33d50988f7a69f1b7c9bbe/oauthlib-3.2.2-py3-none-any.whl (151 kB)
Installing collected packages: wcwidth, pytz, pure-eval, pickleshare, mpmath, backcall, zipp, urllib3, tzdata, typing-extensions, traitlets, tqdm, tensorboard-data-server, sympy, smmap, six, PyYAML, pyparsing, pygments, pyasn1, psutil, protobuf, prompt-toolkit, Pillow, parso, packaging, oauthlib, numpy, networkx, MarkupSafe, kiwisolver, idna, grpcio, fsspec, fonttools, filelock, executing, eval-type-backport, decorator, cycler, charset-normalizer, certifi, cachetools, absl-py, werkzeug, tifffile, scipy, rsa, requests, PyWavelets, python-dateutil, pydantic-core, pyasn1-modules, opencv-python-headless, opencv-python, matplotlib-inline, lazy_loader, jinja2, jedi, importlib-resources, importlib-metadata, imageio, gitdb, contourpy, asttokens, annotated-types, torch, stack-data, scikit-image, requests-oauthlib, pydantic, pandas, matplotlib, markdown, google-auth, gitpython, albucore, torchvision, thop, seaborn, pycocotools, ipython, google-auth-oauthlib, albumentations, tensorboard
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
pylint 3.1.0 requires tomlkit>=0.10.1, which is not installed.
Successfully installed MarkupSafe-2.1.5 Pillow-10.4.0 PyWavelets-1.4.1 PyYAML-6.0.2 absl-py-2.1.0 albucore-0.0.17 albumentations-1.4.18 annotated-types-0.7.0 asttokens-2.4.1 backcall-0.2.0 cachetools-5.5.0 certifi-2024.8.30 charset-normalizer-3.4.0 contourpy-1.1.1 cycler-0.12.1 decorator-5.1.1 eval-type-backport-0.2.0 executing-2.1.0 filelock-3.16.1 fonttools-4.54.1 fsspec-2024.9.0 gitdb-4.0.11 gitpython-3.1.43 google-auth-2.35.0 google-auth-oauthlib-1.0.0 grpcio-1.66.2 idna-3.10 imageio-2.35.1 importlib-metadata-8.5.0 importlib-resources-6.4.5 ipython-8.12.3 jedi-0.19.1 jinja2-3.1.4 kiwisolver-1.4.7 lazy_loader-0.4 markdown-3.7 matplotlib-3.7.5 matplotlib-inline-0.1.7 mpmath-1.3.0 networkx-3.1 numpy-1.24.4 oauthlib-3.2.2 opencv-python-4.10.0.84 opencv-python-headless-4.10.0.84 packaging-24.1 pandas-2.0.3 parso-0.8.4 pickleshare-0.7.5 prompt-toolkit-3.0.48 protobuf-5.28.2 psutil-6.0.0 pure-eval-0.2.3 pyasn1-0.6.1 pyasn1-modules-0.4.1 pycocotools-2.0.7 pydantic-2.9.2 pydantic-core-2.23.4 pygments-2.18.0 pyparsing-3.1.4 python-dateutil-2.9.0.post0 pytz-2024.2 requests-2.32.3 requests-oauthlib-2.0.0 rsa-4.9 scikit-image-0.21.0 scipy-1.10.1 seaborn-0.13.2 six-1.16.0 smmap-5.0.1 stack-data-0.6.3 sympy-1.13.3 tensorboard-2.14.0 tensorboard-data-server-0.7.2 thop-0.1.1.post2209072238 tifffile-2023.7.10 torch-2.4.1 torchvision-0.19.1 tqdm-4.66.5 traitlets-5.14.3 typing-extensions-4.12.2 tzdata-2024.2 urllib3-2.2.3 wcwidth-0.2.13 werkzeug-3.0.4 zipp-3.20.2

(yolov9) E:\new work space\python\yolov9>python detect.py  --weights './yolov9-s-converted.pt'
detect: weights=["'./yolov9-s-converted.pt'"], source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
fatal: cannot change to 'E:\new': No such file or directory
YOLO  2024-10-14 Python-3.8.20 torch-2.4.1+cpu CPU

Traceback (most recent call last):
  File "detect.py", line 231, in <module>
    main(opt)
  File "detect.py", line 226, in main
    run(**vars(opt))
  File "E:\users\86170\anaconda3\envs\yolov9\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "detect.py", line 68, in run
    model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
  File "E:\new work space\python\yolov9\models\common.py", line 696, in __init__
    pt, jit, onnx, onnx_end2end, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs, paddle, triton = self._model_type(w)
  File "E:\new work space\python\yolov9\models\common.py", line 967, in _model_type
    check_suffix(p, sf)  # checks
  File "E:\new work space\python\yolov9\utils\general.py", line 447, in check_suffix
    assert s in suffix, f"{msg}{f} acceptable suffix is {suffix}"
AssertionError: './yolov9-s-converted.pt' acceptable suffix is ['.pt', '.torchscript', '.onnx', '_end2end.onnx', '_openvino_model', '.engine', '.mlmodel', '_saved_model', '.pb', '.tflite', '_edgetpu.tflite', '_web_model', '_paddle_model']

(yolov9) E:\new work space\python\yolov9>

log2
Microsoft Windows [版本 10.0.19042.1706]
(c) Microsoft Corporation。保留所有权利。

E:\Project\python>cit clone https://github.com/WongKinYiu/yolov9.git
'cit' 不是内部或外部命令，也不是可运行的程序
或批处理文件。

E:\Project\python>git clone https://github.com/WongKinYiu/yolov9.git
Cloning into 'yolov9'...
remote: Enumerating objects: 781, done.
Rremote: Total 781 (delta 0), reused 0 (delta 0), pack-reused 781 (from 1)
R50 MiB/s
Receiving objects: 100% (781/781), 3.27 MiB | 1.52 MiB/s, done.
Resolving deltas: 100% (330/330), done.

E:\Project\python>cd yolov9

E:\Project\python\yolov9>conda activate yolov9

(yolov9) E:\Project\python\yolov9>python detect.py  --weights './yolov9-s-converted.pt'
detect: weights=["'./yolov9-s-converted.pt'"], source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLO  v0.1-104-g5b1ea9a Python-3.8.20 torch-2.4.1+cpu CPU

Traceback (most recent call last):
  File "detect.py", line 231, in <module>
    main(opt)
  File "detect.py", line 226, in main
    run(**vars(opt))
  File "E:\users\86170\anaconda3\envs\yolov9\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "detect.py", line 68, in run
    model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
  File "E:\Project\python\yolov9\models\common.py", line 696, in __init__
    pt, jit, onnx, onnx_end2end, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs, paddle, triton = self._model_type(w)
  File "E:\Project\python\yolov9\models\common.py", line 967, in _model_type
    check_suffix(p, sf)  # checks
  File "E:\Project\python\yolov9\utils\general.py", line 447, in check_suffix
    assert s in suffix, f"{msg}{f} acceptable suffix is {suffix}"
AssertionError: './yolov9-s-converted.pt' acceptable suffix is ['.pt', '.torchscript', '.onnx', '_end2end.onnx', '_openvino_model', '.engine', '.mlmodel', '_saved_model', '.pb', '.tflite', '_edgetpu.tflite', '_web_model', '_paddle_model']

(yolov9) E:\Project\python\yolov9>python detect.py  --weights './yolov9-s.pt'
detect: weights=["'./yolov9-s.pt'"], source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLO  v0.1-104-g5b1ea9a Python-3.8.20 torch-2.4.1+cpu CPU

Traceback (most recent call last):
  File "detect.py", line 231, in <module>
    main(opt)
  File "detect.py", line 226, in main
    run(**vars(opt))
  File "E:\users\86170\anaconda3\envs\yolov9\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "detect.py", line 68, in run
    model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
  File "E:\Project\python\yolov9\models\common.py", line 696, in __init__
    pt, jit, onnx, onnx_end2end, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs, paddle, triton = self._model_type(w)
  File "E:\Project\python\yolov9\models\common.py", line 967, in _model_type
    check_suffix(p, sf)  # checks
  File "E:\Project\python\yolov9\utils\general.py", line 447, in check_suffix
    assert s in suffix, f"{msg}{f} acceptable suffix is {suffix}"
AssertionError: './yolov9-s.pt' acceptable suffix is ['.pt', '.torchscript', '.onnx', '_end2end.onnx', '_openvino_model', '.engine', '.mlmodel', '_saved_model', '.pb', '.tflite', '_edgetpu.tflite', '_web_model', '_paddle_model']

(yolov9) E:\Project\python\yolov9>detect.py  --weights './yolov9-s.pt'
detect: weights=["'./yolov9-s.pt'"], source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLO  v0.1-104-g5b1ea9a Python-3.8.10 torch-2.2.1+cu121 CUDA:0 (NVIDIA GeForce GTX 1050, 3072MiB)

Traceback (most recent call last):
  File "E:\Project\python\yolov9\detect.py", line 231, in <module>
    main(opt)
  File "E:\Project\python\yolov9\detect.py", line 226, in main
    run(**vars(opt))
  File "D:\Program Files\Python\Python38\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "E:\Project\python\yolov9\detect.py", line 68, in run
    model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
  File "E:\Project\python\yolov9\models\common.py", line 696, in __init__
    pt, jit, onnx, onnx_end2end, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs, paddle, triton = self._model_type(w)
  File "E:\Project\python\yolov9\models\common.py", line 967, in _model_type
    check_suffix(p, sf)  # checks
  File "E:\Project\python\yolov9\utils\general.py", line 447, in check_suffix
    assert s in suffix, f"{msg}{f} acceptable suffix is {suffix}"
AssertionError: './yolov9-s.pt' acceptable suffix is ['.pt', '.torchscript', '.onnx', '_end2end.onnx', '_openvino_model', '.engine', '.mlmodel', '_saved_model', '.pb', '.tflite', '_edgetpu.tflite', '_web_model', '_paddle_model']

(yolov9) E:\Project\python\yolov9>detect.py  --weights './yolov9-s.pt'
detect: weights=["'./yolov9-s.pt'"], source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLO  v0.1-104-g5b1ea9a Python-3.8.10 torch-2.2.1+cu121 CUDA:0 (NVIDIA GeForce GTX 1050, 3072MiB)

Traceback (most recent call last):
  File "E:\Project\python\yolov9\detect.py", line 231, in <module>
    main(opt)
  File "E:\Project\python\yolov9\detect.py", line 226, in main
    run(**vars(opt))
  File "D:\Program Files\Python\Python38\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "E:\Project\python\yolov9\detect.py", line 68, in run
    model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
  File "E:\Project\python\yolov9\models\common.py", line 696, in __init__
    pt, jit, onnx, onnx_end2end, xml, engine, coreml, saved_model, pb, tflite, edgetpu, tfjs, paddle, triton = self._model_type(w)
  File "E:\Project\python\yolov9\models\common.py", line 967, in _model_type
    check_suffix(p, sf)  # checks
  File "E:\Project\python\yolov9\utils\general.py", line 447, in check_suffix
    assert s in suffix, f"{msg}{f} acceptable suffix is {suffix}"
AssertionError: './yolov9-s.pt' acceptable suffix is ['.pt', '.torchscript', '.onnx', '_end2end.onnx', '_openvino_model', '.engine', '.mlmodel', '_saved_model', '.pb', '.tflite', '_edgetpu.tflite', '_web_model', '_paddle_model']

(yolov9) E:\Project\python\yolov9>detect.py
detect: weights=yolo.pt, source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLO  v0.1-104-g5b1ea9a Python-3.8.10 torch-2.2.1+cu121 CUDA:0 (NVIDIA GeForce GTX 1050, 3072MiB)

Traceback (most recent call last):
  File "E:\Project\python\yolov9\detect.py", line 231, in <module>
    main(opt)
  File "E:\Project\python\yolov9\detect.py", line 226, in main
    run(**vars(opt))
  File "D:\Program Files\Python\Python38\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "E:\Project\python\yolov9\detect.py", line 68, in run
    model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
  File "E:\Project\python\yolov9\models\common.py", line 705, in __init__
    model = attempt_load(weights if isinstance(weights, list) else w, device=device, inplace=True, fuse=fuse)
  File "E:\Project\python\yolov9\models\experimental.py", line 243, in attempt_load
    ckpt = torch.load(attempt_download(w), map_location='cpu')  # load
  File "D:\Program Files\Python\Python38\lib\site-packages\torch\serialization.py", line 998, in load
    with _open_file_like(f, 'rb') as opened_file:
  File "D:\Program Files\Python\Python38\lib\site-packages\torch\serialization.py", line 445, in _open_file_like
    return _open_file(name_or_buffer, mode)
  File "D:\Program Files\Python\Python38\lib\site-packages\torch\serialization.py", line 426, in __init__
    super().__init__(open(name, mode))
FileNotFoundError: [Errno 2] No such file or directory: 'yolo.pt'

(yolov9) E:\Project\python\yolov9>detect.py
detect: weights=yolov9-s-converted.pt, source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLO  v0.1-104-g5b1ea9a Python-3.8.10 torch-2.2.1+cu121 CUDA:0 (NVIDIA GeForce GTX 1050, 3072MiB)

Fusing layers...
gelan-s summary: 489 layers, 7105888 parameters, 34224 gradients, 26.4 GFLOPs
image 1/1 E:\Project\python\yolov9\data\images\horses.jpg: 448x640 5 horses, 64.8ms
Speed: 3.0ms pre-process, 64.8ms inference, 273.5ms NMS per image at shape (1, 3, 640, 640)
Results saved to runs\detect\exp6

(yolov9) E:\Project\python\yolov9>detect.py
detect: weights=yolo.pt, source=data\images, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
YOLO  v0.1-104-g5b1ea9a Python-3.8.10 torch-2.2.1+cu121 CUDA:0 (NVIDIA GeForce GTX 1050, 3072MiB)

Fusing layers...
gelan-s summary: 489 layers, 7105888 parameters, 34224 gradients, 26.4 GFLOPs
image 1/1 E:\Project\python\yolov9\data\images\horses.jpg: 448x640 5 horses, 63.4ms
Speed: 0.0ms pre-process, 63.4ms inference, 65.8ms NMS per image at shape (1, 3, 640, 640)
Results saved to runs\detect\exp7

(yolov9) E:\Project\python\yolov9>

YOLOv9下载安装运行

1、进入GitHub的YOLOv9官网

3、环境配置

可能出现问题

log

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