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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Mw7RoF7eRJEG",
"outputId": "1aa46197-e525-4227-b78a-5068873ebd65"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cloning into 'YOLO9tr'...\n",
"remote: Enumerating objects: 489, done.\u001b[K\n",
"remote: Counting objects: 100% (198/198), done.\u001b[K\n",
"remote: Compressing objects: 100% (150/150), done.\u001b[K\n",
"remote: Total 489 (delta 117), reused 102 (delta 40), pack-reused 291 (from 1)\u001b[K\n",
"Receiving objects: 100% (489/489), 79.21 MiB | 48.83 MiB/s, done.\n",
"Resolving deltas: 100% (225/225), done.\n"
]
}
],
"source": [
"!git clone https://github.com/Sompote/YOLO9tr"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "6KgJYQKfryz2",
"outputId": "f359b42d-f9d5-41ac-bbc6-d4c623672e92"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/workspace/YOLO9tr\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/conda/lib/python3.10/site-packages/IPython/core/magics/osm.py:417: UserWarning: using dhist requires you to install the `pickleshare` library.\n",
" self.shell.db['dhist'] = compress_dhist(dhist)[-100:]\n"
]
}
],
"source": [
"%cd /workspace/YOLO9tr"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "AnohaOgqq5rQ",
"outputId": "d4a78b77-33f3-43dd-af6e-c1ef5e32a8f9"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"\u001b[?25hInstalling collected packages: werkzeug, tzdata, tifffile, tensorboard-data-server, smmap, scipy, pyparsing, pydantic-core, protobuf, opencv-python-headless, opencv-python, opencv-contrib-python, markdown, lazy-loader, kiwisolver, imageio, grpcio, fonttools, eval-type-backport, cycler, contourpy, annotated-types, absl-py, tensorboard, scikit-image, pydantic, pandas, matplotlib, gitdb, albucore, thop, seaborn, pycocotools, gitpython, albumentations\n",
"Successfully installed absl-py-2.1.0 albucore-0.0.13 albumentations-1.4.14 annotated-types-0.7.0 contourpy-1.2.1 cycler-0.12.1 eval-type-backport-0.2.0 fonttools-4.53.1 gitdb-4.0.11 gitpython-3.1.43 grpcio-1.65.5 imageio-2.35.1 kiwisolver-1.4.5 lazy-loader-0.4 markdown-3.7 matplotlib-3.9.2 opencv-contrib-python-4.10.0.84 opencv-python-4.10.0.84 opencv-python-headless-4.10.0.84 pandas-2.2.2 protobuf-5.27.3 pycocotools-2.0.8 pydantic-2.8.2 pydantic-core-2.20.1 pyparsing-3.1.2 scikit-image-0.24.0 scipy-1.14.0 seaborn-0.13.2 smmap-5.0.1 tensorboard-2.17.1 tensorboard-data-server-0.7.2 thop-0.1.1.post2209072238 tifffile-2024.8.10 tzdata-2024.1 werkzeug-3.0.3\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0m"
]
}
],
"source": [
"!pip install -r requirements.txt"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hit:1 http://archive.ubuntu.com/ubuntu jammy InRelease\n",
"Hit:2 http://archive.ubuntu.com/ubuntu jammy-updates InRelease\n",
"Hit:3 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\n",
"Get:4 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]\n",
"Fetched 129 kB in 1s (115 kB/s) \n",
"Reading package lists... Done\n",
"Reading package lists... Done\n",
"Building dependency tree... Done\n",
"Reading state information... Done\n",
"The following additional packages will be installed:\n",
" libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1\n",
" libdrm2 libgl1 libgl1-amber-dri libgl1-mesa-dri libglapi-mesa libglvnd0\n",
" libglx-mesa0 libglx0 libllvm15 libpciaccess0 libsensors-config libsensors5\n",
" libx11-6 libx11-data libx11-xcb1 libxau6 libxcb-dri2-0 libxcb-dri3-0\n",
" libxcb-glx0 libxcb-present0 libxcb-randr0 libxcb-shm0 libxcb-sync1\n",
" libxcb-xfixes0 libxcb1 libxdmcp6 libxext6 libxfixes3 libxshmfence1\n",
" libxxf86vm1\n",
"Suggested packages:\n",
" pciutils lm-sensors\n",
"The following NEW packages will be installed:\n",
" libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1\n",
" libdrm2 libgl1 libgl1-amber-dri libgl1-mesa-dri libgl1-mesa-glx\n",
" libglapi-mesa libglvnd0 libglx-mesa0 libglx0 libllvm15 libpciaccess0\n",
" libsensors-config libsensors5 libx11-6 libx11-data libx11-xcb1 libxau6\n",
" libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-randr0\n",
" libxcb-shm0 libxcb-sync1 libxcb-xfixes0 libxcb1 libxdmcp6 libxext6\n",
" libxfixes3 libxshmfence1 libxxf86vm1\n",
"0 upgraded, 36 newly installed, 0 to remove and 7 not upgraded.\n",
"Need to get 40.1 MB of archives.\n",
"After this operation, 173 MB of additional disk space will be used.\n",
"Get:1 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-common all 2.4.113-2~ubuntu0.22.04.1 [5450 B]\n",
"Get:2 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm2 amd64 2.4.113-2~ubuntu0.22.04.1 [38.1 kB]\n",
"Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxau6 amd64 1:1.0.9-1build5 [7634 B]\n",
"Get:4 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxdmcp6 amd64 1:1.1.3-0ubuntu5 [10.9 kB]\n",
"Get:5 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb1 amd64 1.14-3ubuntu3 [49.0 kB]\n",
"Get:6 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx11-data all 2:1.7.5-1ubuntu0.3 [120 kB]\n",
"Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx11-6 amd64 2:1.7.5-1ubuntu0.3 [667 kB]\n",
"Get:8 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxext6 amd64 2:1.3.4-1build1 [31.8 kB]\n",
"Get:9 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-amdgpu1 amd64 2.4.113-2~ubuntu0.22.04.1 [19.9 kB]\n",
"Get:10 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpciaccess0 amd64 0.16-3 [19.1 kB]\n",
"Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-intel1 amd64 2.4.113-2~ubuntu0.22.04.1 [66.7 kB]\n",
"Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-nouveau2 amd64 2.4.113-2~ubuntu0.22.04.1 [17.5 kB]\n",
"Get:13 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libdrm-radeon1 amd64 2.4.113-2~ubuntu0.22.04.1 [21.6 kB]\n",
"Get:14 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libglapi-mesa amd64 23.2.1-1ubuntu3.1~22.04.2 [37.1 kB]\n",
"Get:15 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libgl1-amber-dri amd64 21.3.9-0ubuntu1~22.04.1 [4218 kB]\n",
"Get:16 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libllvm15 amd64 1:15.0.7-0ubuntu0.22.04.3 [25.4 MB]\n",
"Get:17 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsensors-config all 1:3.6.0-7ubuntu1 [5274 B]\n",
"Get:18 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsensors5 amd64 1:3.6.0-7ubuntu1 [26.3 kB]\n",
"Get:19 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-dri3-0 amd64 1.14-3ubuntu3 [6968 B]\n",
"Get:20 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libgl1-mesa-dri amd64 23.2.1-1ubuntu3.1~22.04.2 [8860 kB]\n",
"Get:21 http://archive.ubuntu.com/ubuntu jammy/main amd64 libglvnd0 amd64 1.4.0-1 [73.6 kB]\n",
"Get:22 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libx11-xcb1 amd64 2:1.7.5-1ubuntu0.3 [7802 B]\n",
"Get:23 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-dri2-0 amd64 1.14-3ubuntu3 [7206 B]\n",
"Get:24 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-glx0 amd64 1.14-3ubuntu3 [25.9 kB]\n",
"Get:25 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-present0 amd64 1.14-3ubuntu3 [5734 B]\n",
"Get:26 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-randr0 amd64 1.14-3ubuntu3 [18.3 kB]\n",
"Get:27 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-shm0 amd64 1.14-3ubuntu3 [5780 B]\n",
"Get:28 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-sync1 amd64 1.14-3ubuntu3 [9416 B]\n",
"Get:29 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxcb-xfixes0 amd64 1.14-3ubuntu3 [9996 B]\n",
"Get:30 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxfixes3 amd64 1:6.0.0-1 [11.7 kB]\n",
"Get:31 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxshmfence1 amd64 1.3-1build4 [5394 B]\n",
"Get:32 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxxf86vm1 amd64 1:1.1.4-1build3 [10.4 kB]\n",
"Get:33 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libglx-mesa0 amd64 23.2.1-1ubuntu3.1~22.04.2 [158 kB]\n",
"Get:34 http://archive.ubuntu.com/ubuntu jammy/main amd64 libglx0 amd64 1.4.0-1 [41.0 kB]\n",
"Get:35 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgl1 amd64 1.4.0-1 [110 kB]\n",
"Get:36 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libgl1-mesa-glx amd64 23.0.4-0ubuntu1~22.04.1 [5584 B]\n",
"Fetched 40.1 MB in 1s (32.9 MB/s)\n",
"debconf: delaying package configuration, since apt-utils is not installed\n",
"Selecting previously unselected package libdrm-common.\n",
"(Reading database ... 16755 files and directories currently installed.)\n",
"Preparing to unpack .../00-libdrm-common_2.4.113-2~ubuntu0.22.04.1_all.deb ...\n",
"Unpacking libdrm-common (2.4.113-2~ubuntu0.22.04.1) ...\n",
"Selecting previously unselected package libdrm2:amd64.\n",
"Preparing to unpack .../01-libdrm2_2.4.113-2~ubuntu0.22.04.1_amd64.deb ...\n",
"Unpacking libdrm2:amd64 (2.4.113-2~ubuntu0.22.04.1) ...\n",
"Selecting previously unselected package libxau6:amd64.\n",
"Preparing to unpack .../02-libxau6_1%3a1.0.9-1build5_amd64.deb ...\n",
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"Preparing to unpack .../03-libxdmcp6_1%3a1.1.3-0ubuntu5_amd64.deb ...\n",
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"Unpacking libgl1:amd64 (1.4.0-1) ...\n",
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"Preparing to unpack .../35-libgl1-mesa-glx_23.0.4-0ubuntu1~22.04.1_amd64.deb ...\n",
"Unpacking libgl1-mesa-glx:amd64 (23.0.4-0ubuntu1~22.04.1) ...\n",
"Setting up libpciaccess0:amd64 (0.16-3) ...\n",
"Setting up libxau6:amd64 (1:1.0.9-1build5) ...\n",
"Setting up libxdmcp6:amd64 (1:1.1.3-0ubuntu5) ...\n",
"Setting up libxcb1:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libxcb-xfixes0:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libglvnd0:amd64 (1.4.0-1) ...\n",
"Setting up libxcb-glx0:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libsensors-config (1:3.6.0-7ubuntu1) ...\n",
"Setting up libxcb-shm0:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libxcb-present0:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libx11-data (2:1.7.5-1ubuntu0.3) ...\n",
"Setting up libxcb-sync1:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libsensors5:amd64 (1:3.6.0-7ubuntu1) ...\n",
"Setting up libglapi-mesa:amd64 (23.2.1-1ubuntu3.1~22.04.2) ...\n",
"Setting up libxcb-dri2-0:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libxshmfence1:amd64 (1.3-1build4) ...\n",
"Setting up libxcb-randr0:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libllvm15:amd64 (1:15.0.7-0ubuntu0.22.04.3) ...\n",
"Setting up libx11-6:amd64 (2:1.7.5-1ubuntu0.3) ...\n",
"Setting up libdrm-common (2.4.113-2~ubuntu0.22.04.1) ...\n",
"Setting up libxcb-dri3-0:amd64 (1.14-3ubuntu3) ...\n",
"Setting up libx11-xcb1:amd64 (2:1.7.5-1ubuntu0.3) ...\n",
"Setting up libxext6:amd64 (2:1.3.4-1build1) ...\n",
"Setting up libxxf86vm1:amd64 (1:1.1.4-1build3) ...\n",
"Setting up libxfixes3:amd64 (1:6.0.0-1) ...\n",
"Setting up libdrm2:amd64 (2.4.113-2~ubuntu0.22.04.1) ...\n",
"Setting up libdrm-amdgpu1:amd64 (2.4.113-2~ubuntu0.22.04.1) ...\n",
"Setting up libdrm-nouveau2:amd64 (2.4.113-2~ubuntu0.22.04.1) ...\n",
"Setting up libdrm-radeon1:amd64 (2.4.113-2~ubuntu0.22.04.1) ...\n",
"Setting up libdrm-intel1:amd64 (2.4.113-2~ubuntu0.22.04.1) ...\n",
"Setting up libgl1-mesa-dri:amd64 (23.2.1-1ubuntu3.1~22.04.2) ...\n",
"Setting up libgl1-amber-dri:amd64 (21.3.9-0ubuntu1~22.04.1) ...\n",
"Setting up libglx-mesa0:amd64 (23.2.1-1ubuntu3.1~22.04.2) ...\n",
"Setting up libglx0:amd64 (1.4.0-1) ...\n",
"Setting up libgl1:amd64 (1.4.0-1) ...\n",
"Setting up libgl1-mesa-glx:amd64 (23.0.4-0ubuntu1~22.04.1) ...\n",
"Processing triggers for libc-bin (2.35-0ubuntu3.8) ...\n",
"yes: standard output: Broken pipe\n"
]
}
],
"source": [
"!sudo apt-get update\n",
"!yes | sudo apt-get install libgl1-mesa-glx"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/workspace/YOLO9tr\n"
]
}
],
"source": [
"%cd /workspace/YOLO9tr"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting Pillow==9.5.0\n",
" Downloading Pillow-9.5.0-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (9.5 kB)\n",
"Downloading Pillow-9.5.0-cp310-cp310-manylinux_2_28_x86_64.whl (3.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m47.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
"\u001b[?25hInstalling collected packages: Pillow\n",
" Attempting uninstall: Pillow\n",
" Found existing installation: pillow 10.3.0\n",
" Uninstalling pillow-10.3.0:\n",
" Successfully uninstalled pillow-10.3.0\n",
"Successfully installed Pillow-9.5.0\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0mNote: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install Pillow==9.5.0"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[34m\u001b[1msegment/train: \u001b[0mweights=, cfg=/workspace/YOLO9_KMUTT/yolov9/models/detect/yolov9-kmuttX.yaml, data=/workspace/help_me/data.yaml, hyp=hyp.scratch-high.yaml, epochs=500, batch_size=4, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=0, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train-seg, name=yolov9-c, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, close_mosaic=15, mask_ratio=4, no_overlap=False\n",
"Traceback (most recent call last):\n",
" File \"/workspace/YOLO9tr/segment/train.py\", line 646, in <module>\n",
" main(opt)\n",
" File \"/workspace/YOLO9tr/segment/train.py\", line 517, in main\n",
" check_file(opt.data), check_yaml(opt.cfg), check_yaml(opt.hyp), str(opt.weights), str(opt.project) # checks\n",
" File \"/workspace/YOLO9tr/utils/general.py\", line 452, in check_yaml\n",
" return check_file(file, suffix)\n",
" File \"/workspace/YOLO9tr/utils/general.py\", line 478, in check_file\n",
" assert len(files), f'File not found: {file}' # assert file was found\n",
"AssertionError: File not found: /workspace/YOLO9_KMUTT/yolov9/models/detect/yolov9-kmuttX.yaml\n"
]
}
],
"source": [
"!python /workspace/YOLO9tr/segment/train.py --workers 8 --device 0 --batch 4 --data '/workspace/help_me/data.yaml' --img 640 --cfg /workspace/YOLO9_KMUTT/yolov9/models/detect/yolov9-kmuttX.yaml --weights '' --name yolov9-c --hyp hyp.scratch-high.yaml --epochs 500 --close-mosaic 15"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jjB9EA9yRCyR",
"outputId": "2e388fee-6ec5-492d-b698-55d2d1cec2f2"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[34m\u001b[1msegment/train: \u001b[0mweights=, cfg=/workspace/YOLO9tr/models/segment/gelan-c-seg.yaml, data=/workspace/help_me/data.yaml, hyp=hyp.scratch-high.yaml, epochs=200, batch_size=20, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=0, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=False, workers=8, project=runs/train-seg, name=yolov9-seg, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, close_mosaic=15, mask_ratio=4, no_overlap=False\n",
"YOLO 🚀 ceb4d07 Python-3.10.14 torch-2.3.1 CUDA:0 (NVIDIA GeForce RTX 4090, 24210MiB)\n",
"\n",
"\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, cls_pw=1.0, obj=0.7, obj_pw=1.0, dfl=1.5, iou_t=0.2, anchor_t=5.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.9, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.15, copy_paste=0.3\n",
"\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train-seg', view at http://localhost:6006/\n",
"Overriding model.yaml nc=80 with nc=2\n",
"\n",
" from n params module arguments \n",
" 0 -1 1 1856 models.common.Conv [3, 64, 3, 2] \n",
" 1 -1 1 73984 models.common.Conv [64, 128, 3, 2] \n",
" 2 -1 1 212864 models.common.RepNCSPELAN4 [128, 256, 128, 64, 1] \n",
" 3 -1 1 164352 models.common.ADown [256, 256] \n",
" 4 -1 1 847616 models.common.RepNCSPELAN4 [256, 512, 256, 128, 1] \n",
" 5 -1 1 656384 models.common.ADown [512, 512] \n",
" 6 -1 1 2857472 models.common.RepNCSPELAN4 [512, 512, 512, 256, 1] \n",
" 7 -1 1 656384 models.common.ADown [512, 512] \n",
" 8 -1 1 2857472 models.common.RepNCSPELAN4 [512, 512, 512, 256, 1] \n",
" 9 -1 1 656896 models.common.SPPELAN [512, 512, 256] \n",
" 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 11 [-1, 6] 1 0 models.common.Concat [1] \n",
" 12 -1 1 3119616 models.common.RepNCSPELAN4 [1024, 512, 512, 256, 1] \n",
" 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 14 [-1, 4] 1 0 models.common.Concat [1] \n",
" 15 -1 1 912640 models.common.RepNCSPELAN4 [1024, 256, 256, 128, 1] \n",
" 16 -1 1 164352 models.common.ADown [256, 256] \n",
" 17 [-1, 12] 1 0 models.common.Concat [1] \n",
" 18 -1 1 2988544 models.common.RepNCSPELAN4 [768, 512, 512, 256, 1] \n",
" 19 -1 1 656384 models.common.ADown [512, 512] \n",
" 20 [-1, 9] 1 0 models.common.Concat [1] \n",
" 21 -1 1 3119616 models.common.RepNCSPELAN4 [1024, 512, 512, 256, 1] \n",
" 22 [15, 18, 21] 1 7628150 models.yolo.Segment [2, 32, 256, [256, 512, 512]] \n",
"gelan-c-seg summary: 657 layers, 27574582 parameters, 27574566 gradients, 145.7 GFLOPs\n",
"\n",
"\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
"\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 163 weight(decay=0.0), 173 weight(decay=0.00046875), 172 bias\n",
"\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
"\u001b[34m\u001b[1mtrain: \u001b[0mScanning /workspace/help_me/train/labels.cache... 6428 images, 18 backgro\u001b[0m\n",
"\u001b[34m\u001b[1mval: \u001b[0mScanning /workspace/help_me/valid/labels.cache... 307 images, 1 backgrounds\u001b[0m\n",
"Plotting labels to runs/train-seg/yolov9-seg16/labels.jpg... \n",
"Image sizes 640 train, 640 val\n",
"Using 8 dataloader workers\n",
"Logging results to \u001b[1mruns/train-seg/yolov9-seg16\u001b[0m\n",
"Starting training for 200 epochs...\n",
"\n",
" Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n",
" 0/199 18.7G 3.376 2.361 3.789 4.2 46 \n",
" Class Images Instances Box(P R mAP50 m\n",
" all 307 665 0.00447 0.588 0.0371 0.0107 0.00259 0.339 0.00786 0.00159\n",
"\n",
" Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n",
" 1/199 19.8G 3.35 1.516 3.408 3.821 39 \n",
" Class Images Instances Box(P R mAP50 m\n",
" all 307 665 0.528 0.329 0.0442 0.00933 0.515 0.184 0.0162 0.00312\n",
"\n",
" Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n",
" 2/199 19.8G 2.493 1.427 2.813 2.893 43 \n",
" Class Images Instances Box(P R mAP50 m\n",
" all 307 665 0.71 0.224 0.205 0.0997 0.648 0.114 0.0771 0.019\n",
"\n",
" Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n",
" 3/199 19.8G 1.876 1.357 2.274 2.239 47 \n",
" Class Images Instances Box(P R mAP50 m\n",
" all 307 665 0.703 0.331 0.37 0.229 0.779 0.24 0.247 0.0752\n",
"\n",
" Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n",
" 4/199 19.8G 1.631 1.275 1.975 1.974 53 \n",
" Class Images Instances Box(P R mAP50 m\n",
" all 307 665 0.472 0.403 0.382 0.248 0.432 0.302 0.271 0.0936\n",
"\n",
" Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n",
" 5/199 19.8G 1.517 1.238 1.829 1.856 47 \n",
" Class Images Instances Box(P R mAP50 m\n",
" all 307 665 0.46 0.409 0.415 0.29 0.413 0.332 0.296 0.104\n",
"\n",
" Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n",
" 6/199 19.8G 1.456 1.193 1.749 1.788 138 "
]
}
],
"source": [
"!python /workspace/YOLO9tr/segment/train.py --workers 8 --device 0 --batch 20 --data '/workspace/help_me/data.yaml' \\\n",
"--img 640 --cfg /workspace/YOLO9tr/models/segment/gelan-c-seg.yaml --weights '' --name yolov9-seg --hyp hyp.scratch-high.yaml \\\n",
"--epochs 200 --close-mosaic 15"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "VRMBngDDsIok"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"W0819 12:52:56.548000 140419195352896 torch/distributed/run.py:757] \n",
"W0819 12:52:56.548000 140419195352896 torch/distributed/run.py:757] *****************************************\n",
"W0819 12:52:56.548000 140419195352896 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. \n",
"W0819 12:52:56.548000 140419195352896 torch/distributed/run.py:757] *****************************************\n",
"\u001b[34m\u001b[1msegment/train: \u001b[0mweights=, cfg=/workspace/YOLO9tr/models/segment/gelan-c-seg.yaml, data=/workspace/help_me/data.yaml, hyp=hyp.scratch-high.yaml, epochs=500, batch_size=30, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, noplots=False, evolve=None, bucket=, cache=None, image_weights=False, device=0,1, multi_scale=False, single_cls=False, optimizer=SGD, sync_bn=True, workers=8, project=runs/train-seg, name=yolov9-seg, exist_ok=False, quad=False, cos_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, close_mosaic=15, mask_ratio=4, no_overlap=False\n",
"YOLO 🚀 ceb4d07 Python-3.10.14 torch-2.3.1 CUDA:0 (NVIDIA GeForce RTX 4090, 24217MiB)\n",
" CUDA:1 (NVIDIA GeForce RTX 4090, 24217MiB)\n",
"\n",
"\u001b[34m\u001b[1mhyperparameters: \u001b[0mlr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, cls_pw=1.0, obj=0.7, obj_pw=1.0, dfl=1.5, iou_t=0.2, anchor_t=5.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.9, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.15, copy_paste=0.3\n",
"\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train-seg', view at http://localhost:6006/\n",
"Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...\n",
"100%|████████████████████████████████████████| 755k/755k [00:00<00:00, 32.8MB/s]\n",
"Overriding model.yaml nc=80 with nc=2\n",
"\n",
" from n params module arguments \n",
" 0 -1 1 1856 models.common.Conv [3, 64, 3, 2] \n",
" 1 -1 1 73984 models.common.Conv [64, 128, 3, 2] \n",
" 2 -1 1 212864 models.common.RepNCSPELAN4 [128, 256, 128, 64, 1] \n",
" 3 -1 1 164352 models.common.ADown [256, 256] \n",
" 4 -1 1 847616 models.common.RepNCSPELAN4 [256, 512, 256, 128, 1] \n",
" 5 -1 1 656384 models.common.ADown [512, 512] \n",
" 6 -1 1 2857472 models.common.RepNCSPELAN4 [512, 512, 512, 256, 1] \n",
" 7 -1 1 656384 models.common.ADown [512, 512] \n",
" 8 -1 1 2857472 models.common.RepNCSPELAN4 [512, 512, 512, 256, 1] \n",
" 9 -1 1 656896 models.common.SPPELAN [512, 512, 256] \n",
" 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 11 [-1, 6] 1 0 models.common.Concat [1] \n",
" 12 -1 1 3119616 models.common.RepNCSPELAN4 [1024, 512, 512, 256, 1] \n",
" 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 14 [-1, 4] 1 0 models.common.Concat [1] \n",
" 15 -1 1 912640 models.common.RepNCSPELAN4 [1024, 256, 256, 128, 1] \n",
" 16 -1 1 164352 models.common.ADown [256, 256] \n",
" 17 [-1, 12] 1 0 models.common.Concat [1] \n",
" 18 -1 1 2988544 models.common.RepNCSPELAN4 [768, 512, 512, 256, 1] \n",
" 19 -1 1 656384 models.common.ADown [512, 512] \n",
" 20 [-1, 9] 1 0 models.common.Concat [1] \n",
" 21 -1 1 3119616 models.common.RepNCSPELAN4 [1024, 512, 512, 256, 1] \n",
" 22 [15, 18, 21] 1 7628150 models.yolo.Segment [2, 32, 256, [256, 512, 512]] \n",
"gelan-c-seg summary: 657 layers, 27574582 parameters, 27574566 gradients, 145.7 GFLOPs\n",
"\n",
"\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
"\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 163 weight(decay=0.0), 173 weight(decay=0.00046875), 172 bias\n",
"Using SyncBatchNorm()\n",
"\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
"\u001b[34m\u001b[1mtrain: \u001b[0mScanning /workspace/help_me/train/labels... 6428 images, 18 backgrounds, \u001b[0m\n",
"\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /workspace/help_me/train/labels.cache\n",
"\u001b[34m\u001b[1mval: \u001b[0mScanning /workspace/help_me/valid/labels... 307 images, 1 backgrounds, 0 co\u001b[0m\n",
"\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /workspace/help_me/valid/labels.cache\n",
"Plotting labels to runs/train-seg/yolov9-seg2/labels.jpg... \n",
"Image sizes 640 train, 640 val\n",
"Using 16 dataloader workers\n",
"Logging results to \u001b[1mruns/train-seg/yolov9-seg2\u001b[0m\n",
"Starting training for 500 epochs...\n",
"\n",
" Epoch GPU_mem box_loss seg_loss cls_loss dfl_loss Instances Size\n",
" 0/499 12.2G 3.356 2.644 3.818 4.234 127 ^C\n",
"W0819 12:54:10.488000 140419195352896 torch/distributed/elastic/agent/server/api.py:741] Received Signals.SIGINT death signal, shutting down workers\n",
"W0819 12:54:10.489000 140419195352896 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1257 closing signal SIGINT\n",
"W0819 12:54:10.489000 140419195352896 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1258 closing signal SIGINT\n",
" 0/499 12.2G 3.356 2.645 3.817 4.234 96 \n",
"[rank1]: Traceback (most recent call last):\n",
"[rank1]: File \"/workspace/YOLO9tr/segment/train.py\", line 646, in <module>\n",
"[rank1]: main(opt)\n",
"[rank1]: File \"/workspace/YOLO9tr/segment/train.py\", line 542, in main\n",
"[rank1]: train(opt.hyp, opt, device, callbacks)\n",
"[rank1]: File \"/workspace/YOLO9tr/segment/train.py\", line 296, in train\n",
"[rank1]: pred = model(imgs) # forward\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py\", line 1593, in forward\n",
"[rank1]: else self._run_ddp_forward(*inputs, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py\", line 1411, in _run_ddp_forward\n",
"[rank1]: return self.module(*inputs, **kwargs) # type: ignore[index]\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/workspace/YOLO9tr/models/yolo.py\", line 633, in forward\n",
"[rank1]: return self._forward_once(x, profile, visualize) # single-scale inference, train\n",
"[rank1]: File \"/workspace/YOLO9tr/models/yolo.py\", line 533, in _forward_once\n",
"[rank1]: x = m(x) # run\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/workspace/YOLO9tr/models/common.py\", line 613, in forward\n",
"[rank1]: y.extend((m(y[-1])) for m in [self.cv2, self.cv3])\n",
"[rank1]: File \"/workspace/YOLO9tr/models/common.py\", line 613, in <genexpr>\n",
"[rank1]: y.extend((m(y[-1])) for m in [self.cv2, self.cv3])\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py\", line 217, in forward\n",
"[rank1]: input = module(input)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/workspace/YOLO9tr/models/common.py\", line 384, in forward\n",
"[rank1]: return self.cv3(torch.cat((self.m(self.cv1(x)), self.cv2(x)), 1))\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py\", line 217, in forward\n",
"[rank1]: input = module(input)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/workspace/YOLO9tr/models/common.py\", line 309, in forward\n",
"[rank1]: return x + self.cv2(self.cv1(x)) if self.add else self.cv2(self.cv1(x))\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/workspace/YOLO9tr/models/common.py\", line 54, in forward\n",
"[rank1]: return self.act(self.bn(self.conv(x)))\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank1]: return self._call_impl(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank1]: return forward_call(*args, **kwargs)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py\", line 460, in forward\n",
"[rank1]: return self._conv_forward(input, self.weight, self.bias)\n",
"[rank1]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py\", line 456, in _conv_forward\n",
"[rank1]: return F.conv2d(input, weight, bias, self.stride,\n",
"[rank1]: KeyboardInterrupt\n",
"[rank0]: Exception in thread Thread-10 (_pin_memory_loop):\n",
"[rank0]: Traceback (most recent call last):\n",
"[rank0]: File \"/opt/conda/lib/python3.10/threading.py\", line 1016, in _bootstrap_inner\n",
"[rank0]: self.run()\n",
"[rank0]: File \"/opt/conda/lib/python3.10/threading.py\", line 953, in run\n",
"[rank0]: self._target(*self._args, **self._kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/pin_memory.py\", line 54, in _pin_memory_loop\n",
"[rank0]: do_one_step()\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/utils/data/_utils/pin_memory.py\", line 31, in do_one_step\n",
"[rank0]: r = in_queue.get(timeout=MP_STATUS_CHECK_INTERVAL)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/multiprocessing/queues.py\", line 122, in get\n",
"[rank0]: Traceback (most recent call last):\n",
"[rank0]: File \"/workspace/YOLO9tr/segment/train.py\", line 646, in <module>\n",
"[rank0]: main(opt)\n",
"[rank0]: File \"/workspace/YOLO9tr/segment/train.py\", line 542, in main\n",
"[rank0]: train(opt.hyp, opt, device, callbacks)\n",
"[rank0]: File \"/workspace/YOLO9tr/segment/train.py\", line 296, in train\n",
"[rank0]: pred = model(imgs) # forward\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py\", line 1593, in forward\n",
"[rank0]: else self._run_ddp_forward(*inputs, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py\", line 1411, in _run_ddp_forward\n",
"[rank0]: return self.module(*inputs, **kwargs) # type: ignore[index]\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/workspace/YOLO9tr/models/yolo.py\", line 633, in forward\n",
"[rank0]: return self._forward_once(x, profile, visualize) # single-scale inference, train\n",
"[rank0]: File \"/workspace/YOLO9tr/models/yolo.py\", line 533, in _forward_once\n",
"[rank0]: x = m(x) # run\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/workspace/YOLO9tr/models/common.py\", line 613, in forward\n",
"[rank0]: y.extend((m(y[-1])) for m in [self.cv2, self.cv3])\n",
"[rank0]: File \"/workspace/YOLO9tr/models/common.py\", line 613, in <genexpr>\n",
"[rank0]: y.extend((m(y[-1])) for m in [self.cv2, self.cv3])\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py\", line 217, in forward\n",
"[rank0]: input = module(input)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/workspace/YOLO9tr/models/common.py\", line 384, in forward\n",
"[rank0]: return self.cv3(torch.cat((self.m(self.cv1(x)), self.cv2(x)), 1))\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py\", line 217, in forward\n",
"[rank0]: input = module(input)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/workspace/YOLO9tr/models/common.py\", line 309, in forward\n",
"[rank0]: return x + self.cv2(self.cv1(x)) if self.add else self.cv2(self.cv1(x))\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/workspace/YOLO9tr/models/common.py\", line 111, in forward\n",
"[rank0]: return self.act(self.conv1(x) + self.conv2(x) + id_out)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/workspace/YOLO9tr/models/common.py\", line 54, in forward\n",
"[rank0]: return self.act(self.bn(self.conv(x)))\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1532, in _wrapped_call_impl\n",
"[rank0]: return self._call_impl(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1541, in _call_impl\n",
"[rank0]: return forward_call(*args, **kwargs)\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py\", line 776, in forward\n",
"[rank0]: return sync_batch_norm.apply(\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/autograd/function.py\", line 598, in apply\n",
"[rank0]: return super().apply(*args, **kwargs) # type: ignore[misc]\n",
"[rank0]: File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/_functions.py\", line 89, in forward\n",
"[rank0]: counts = count_all.view(-1)\n",
"[rank0]: KeyboardInterrupt\n"
]
}
],
"source": [
"!torchrun --nproc_per_node 2 --master_port 9527 /workspace/YOLO9tr/segment/train.py \\\n",
"--workers 8 --device 0,1 --sync-bn --batch 30 --data '/workspace/help_me/data.yaml' \\\n",
"--img 640 --cfg /workspace/YOLO9tr/models/segment/gelan-c-seg.yaml --weights '' --name yolov9-seg --hyp hyp.scratch-high.yaml \\\n",
"--epochs 500 --close-mosaic 15"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"W0819 12:54:19.648000 139777630365504 torch/distributed/run.py:757] \n",
"W0819 12:54:19.648000 139777630365504 torch/distributed/run.py:757] *****************************************\n",
"W0819 12:54:19.648000 139777630365504 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. \n",
"W0819 12:54:19.648000 139777630365504 torch/distributed/run.py:757] *****************************************\n"
]
}
],
"source": [
"!torchrun --nproc_per_node 2 --master_port 9527 train_dual.py \\\n",
"--workers 8 --device 0,1 --sync-bn --batch 40 --data '/workspace/road damage/data.yaml' \\\n",
"--img 640 --cfg models/detect/yolov9-c.yaml --weights '' --name yolov9-c --hyp hyp.scratch-high.yaml \\\n",
"--min-items 0 --epochs 500 --close-mosaic 15"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!torchrun --nproc_per_node 2 --master_port 9527 train_dual.py \\\n",
"--workers 8 --device 0,1 --sync-bn --batch 30 --data '/workspace/road damage/data.yaml' \\\n",
"--img 640 --cfg models/detect/yolov9-c.yaml --weights '' --name yolov9-c --hyp hyp.scratch-high.yaml \\\n",
"--min-items 0 --epochs 500 --close-mosaic 15"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"gpuType": "L4",
"machine_shape": "hm",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
|