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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 'YOLO9_KMUTT'...\n",
"remote: Enumerating objects: 182, done.\u001b[K\n",
"remote: Counting objects: 100% (182/182), done.\u001b[K\n",
"remote: Compressing objects: 100% (132/132), done.\u001b[K\n",
"remote: Total 182 (delta 49), reused 179 (delta 46), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (182/182), 2.27 MiB | 8.47 MiB/s, done.\n",
"Resolving deltas: 100% (49/49), done.\n"
]
}
],
"source": [
"!git clone https://github.com/Sompote/YOLO9_KMUTT"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "6KgJYQKfryz2",
"outputId": "f359b42d-f9d5-41ac-bbc6-d4c623672e92"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/workspace/YOLO9_KMUTT/yolov9\n"
]
}
],
"source": [
"%cd /workspace/YOLO9_KMUTT/yolov9/"
]
},
{
"cell_type": "code",
"execution_count": 10,
"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, threadpoolctl, tensorboard-data-server, smmap, scipy, pyparsing, pydantic-core, protobuf, opencv-python-headless, opencv-python, markdown, lazy-loader, kiwisolver, joblib, imageio, grpcio, fonttools, cycler, contourpy, annotated-types, absl-py, tensorboard, scikit-learn, scikit-image, pydantic, pandas, matplotlib, gitdb, albucore, thop, seaborn, pycocotools, gitpython, albumentations\n",
"Successfully installed absl-py-2.1.0 albucore-0.0.9 albumentations-1.4.8 annotated-types-0.7.0 contourpy-1.2.1 cycler-0.12.1 fonttools-4.53.0 gitdb-4.0.11 gitpython-3.1.43 grpcio-1.64.1 imageio-2.34.1 joblib-1.4.2 kiwisolver-1.4.5 lazy-loader-0.4 markdown-3.6 matplotlib-3.9.0 opencv-python-4.10.0.82 opencv-python-headless-4.10.0.82 pandas-2.2.2 protobuf-4.25.3 pycocotools-2.0.7 pydantic-2.7.3 pydantic-core-2.18.4 pyparsing-3.1.2 scikit-image-0.23.2 scikit-learn-1.5.0 scipy-1.13.1 seaborn-0.13.2 smmap-5.0.1 tensorboard-2.17.0 tensorboard-data-server-0.7.2 thop-0.1.1.post2209072238 threadpoolctl-3.5.0 tifffile-2024.5.22 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": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hit:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease\n",
"Hit:2 http://archive.ubuntu.com/ubuntu jammy InRelease \n",
"Hit:3 http://security.ubuntu.com/ubuntu jammy-security InRelease\n",
"Hit:4 http://archive.ubuntu.com/ubuntu jammy-updates InRelease\n",
"Hit:5 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\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 56 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",
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"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 (2.35-0ubuntu3.4) ...\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": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/workspace/yolov9\n"
]
}
],
"source": [
"%cd /workspace/yolov9"
]
},
{
"cell_type": "code",
"execution_count": 22,
"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[31m54.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
"\u001b[?25hInstalling collected packages: Pillow\n",
" Attempting uninstall: Pillow\n",
" Found existing installation: Pillow 10.0.1\n",
" Uninstalling Pillow-10.0.1:\n",
" Successfully uninstalled Pillow-10.0.1\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": 23,
"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[1mtrain_dual: \u001b[0mweights=, cfg=/workspace/YOLO9_KMUTT/yolov9/models/detect/yolov9-kmuttX.yaml, data=/workspace/6400 images/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, name=yolov9-c, exist_ok=False, quad=False, cos_lr=False, flat_cos_lr=False, fixed_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, min_items=0, close_mosaic=15, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest\n",
"YOLO 🚀 2024-6-7 Python-3.10.13 torch-2.2.0 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[1mClearML: \u001b[0mrun 'pip install clearml' to automatically track, visualize and remotely train YOLO 🚀 in ClearML\n",
"\u001b[34m\u001b[1mComet: \u001b[0mrun 'pip install comet_ml' to automatically track and visualize YOLO 🚀 runs in Comet\n",
"\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
"Overriding model.yaml nc=80 with nc=10\n",
"\n",
" from n params module arguments \n",
" 0 -1 1 0 models.common.Silence [] \n",
" 1 -1 1 1856 models.common.Conv [3, 64, 3, 2] \n",
" 2 -1 1 73984 models.common.Conv [64, 128, 3, 2] \n",
" 3 -1 1 252160 models.common.RepNCSPELAN4 [128, 256, 128, 64, 2] \n",
" 4 -1 1 164352 models.common.ADown [256, 256] \n",
" 5 -1 1 1004032 models.common.RepNCSPELAN4 [256, 512, 256, 128, 2] \n",
" 6 -1 1 656384 models.common.ADown [512, 512] \n",
" 7 -1 1 4006912 models.common.RepNCSPELAN4 [512, 1024, 512, 256, 2] \n",
" 8 -1 1 2623488 models.common.ADown [1024, 1024] \n",
" 9 -1 1 4269056 models.common.RepNCSPELAN4 [1024, 1024, 512, 256, 2] \n",
" 10 1 1 4160 models.common.CBLinear [64, [64]] \n",
" 11 3 1 49344 models.common.CBLinear [256, [64, 128]] \n",
" 12 5 1 229824 models.common.CBLinear [512, [64, 128, 256]] \n",
" 13 7 1 984000 models.common.CBLinear [1024, [64, 128, 256, 512]] \n",
" 14 9 1 2033600 models.common.CBLinear [1024, [64, 128, 256, 512, 1024]]\n",
" 15 0 1 1856 models.common.Conv [3, 64, 3, 2] \n",
" 16[10, 11, 12, 13, 14, -1] 1 0 models.common.CBFuse [[0, 0, 0, 0, 0]] \n",
" 17 -1 1 73984 models.common.Conv [64, 128, 3, 2] \n",
" 18[11, 12, 13, 14, -1] 1 0 models.common.CBFuse [[1, 1, 1, 1]] \n",
" 19 -1 1 252160 models.common.RepNCSPELAN4 [128, 256, 128, 64, 2] \n",
" 20 -1 1 164352 models.common.ADown [256, 256] \n",
" 21 [12, 13, 14, -1] 1 0 models.common.CBFuse [[2, 2, 2]] \n",
" 22 -1 1 1004032 models.common.RepNCSPELAN4 [256, 512, 256, 128, 2] \n",
" 23 -1 1 656384 models.common.ADown [512, 512] \n",
" 24 [13, 14, -1] 1 0 models.common.CBFuse [[3, 3]] \n",
" 25 -1 1 4006912 models.common.RepNCSPELAN4 [512, 1024, 512, 256, 2] \n",
" 26 -1 1 2623488 models.common.ADown [1024, 1024] \n",
" 27 [14, -1] 1 0 models.common.CBFuse [[4]] \n",
" 28 -1 1 4269056 models.common.RepNCSPELAN4 [1024, 1024, 512, 256, 2] \n",
" 29 9 1 787968 models.common.SPPELAN [1024, 512, 256] \n",
" 30 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 31 [-1, 7] 1 0 models.common.Concat [1] \n",
" 32 -1 1 4005888 models.common.RepNCSPELAN4 [1536, 512, 512, 256, 2] \n",
" 33 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 34 [-1, 5] 1 0 models.common.Concat [1] \n",
" 35 -1 1 1069056 models.common.RepNCSPELAN4 [1024, 256, 256, 128, 2] \n",
" 36 28 1 787968 models.common.SPPELAN [1024, 512, 256] \n",
" 37 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 38 [-1, 25] 1 0 models.common.Concat [1] \n",
" 39 -1 1 4005888 models.common.RepNCSPELAN4 [1536, 512, 512, 256, 2] \n",
" 40 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 41 [-1, 22] 1 0 models.common.Concat [1] \n",
" 42 -1 1 1069056 models.common.RepNCSPELAN4 [1024, 256, 256, 128, 2] \n",
" 43 -1 1 164352 models.common.ADown [256, 256] \n",
" 44 [-1, 39] 1 0 models.common.Concat [1] \n",
" 45 -1 1 3612672 models.common.RepNCSPELAN4 [768, 512, 512, 256, 2] \n",
" 46 -1 1 656384 models.common.ADown [512, 512] \n",
" 47 [-1, 36] 1 0 models.common.Concat [1] \n",
" 48 -1 1 13910016 models.common.RepNCSPELAN4 [1024, 1024, 1024, 512, 2] \n",
" 49 -1 1 3948032 models.common.PSA [1024, 1024] \n",
" 50 35 1 249728 models.common.PSA [256, 256] \n",
" 51 32 1 990976 models.common.PSA [512, 512] \n",
" 52 29 1 990976 models.common.PSA [512, 512] \n",
" 53 42 1 249728 models.common.PSA [256, 256] \n",
" 54 45 1 990976 models.common.PSA [512, 512] \n",
" 55[50, 51, 52, 53, 54, 49] 1 12471260 models.yolo.DualDDetect [10, [256, 512, 512, 256, 512, 1024]]\n",
"yolov9-kmuttX summary: 1643 layers, 79366300 parameters, 79366268 gradients, 263.8 GFLOPs\n",
"\n",
"\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
"\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 398 weight(decay=0.0), 417 weight(decay=0.0005), 415 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/6400 images/train/labels.cache... 5120 images, 7 back\u001b[0m\n",
"\u001b[34m\u001b[1mval: \u001b[0mScanning /workspace/6400 images/valid/labels.cache... 640 images, 0 backgro\u001b[0m\n",
"Plotting labels to runs/train/yolov9-c10/labels.jpg... \n",
"Image sizes 640 train, 640 val\n",
"Using 4 dataloader workers\n",
"Logging results to \u001b[1mruns/train/yolov9-c10\u001b[0m\n",
"Starting training for 500 epochs...\n",
"\n",
" Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
" 0/499 16.5G 4.939 7.156 5.232 11 640: WARNING ⚠️ TensorBoard graph visualization failure Only tensors, lists, tuples of tensors, or dictionary of tensors can be output from traced functions\n",
" 0/499 16.7G 5.236 7.764 5.234 23 640: ^C\n",
" 0/499 16.7G 5.236 7.764 5.234 23 640: \n",
"Traceback (most recent call last):\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/train_dual.py\", line 538, in main\n",
" train(opt.hyp, opt, device, callbacks)\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/train_dual.py\", line 314, in train\n",
" pred = model(imgs) # forward\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/models/yolo.py\", line 633, in forward\n",
" return self._forward_once(x, profile, visualize) # single-scale inference, train\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/models/yolo.py\", line 533, in _forward_once\n",
" x = m(x) # run\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/models/common.py\", line 613, in forward\n",
" y.extend((m(y[-1])) for m in [self.cv2, self.cv3])\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/models/common.py\", line 613, in <genexpr>\n",
" y.extend((m(y[-1])) for m in [self.cv2, self.cv3])\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py\", line 217, in forward\n",
" input = module(input)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/models/common.py\", line 384, in forward\n",
" return self.cv3(torch.cat((self.m(self.cv1(x)), self.cv2(x)), 1))\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/YOLO9_KMUTT/yolov9/models/common.py\", line 54, in forward\n",
" return self.act(self.bn(self.conv(x)))\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py\", line 175, in forward\n",
" return F.batch_norm(\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/functional.py\", line 2482, in batch_norm\n",
" return torch.batch_norm(\n",
"KeyboardInterrupt\n"
]
}
],
"source": [
"!python train_dual.py --workers 8 --device 0 --batch 4 --data '/workspace/6400 images/data.yaml' --img 640 --cfg /workspace/YOLO9_KMUTT/yolov9/models/detect/yolov9-kmuttX.yaml --weights '' --name yolov9-c --hyp hyp.scratch-high.yaml --min-items 0 --epochs 500 --close-mosaic 15"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "VRMBngDDsIok"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2024-06-01 23:55:21,192] torch.distributed.run: [WARNING] \n",
"[2024-06-01 23:55:21,192] torch.distributed.run: [WARNING] *****************************************\n",
"[2024-06-01 23:55:21,192] torch.distributed.run: [WARNING] 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",
"[2024-06-01 23:55:21,192] torch.distributed.run: [WARNING] *****************************************\n",
"\u001b[34m\u001b[1mtrain_dual: \u001b[0mweights=, cfg=models/detect/yolov9-c.yaml, data=/workspace/norway/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, name=yolov9-c, exist_ok=False, quad=False, cos_lr=False, flat_cos_lr=False, fixed_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, min_items=0, close_mosaic=15, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 530, in main\n",
" assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'\n",
"AssertionError: --batch-size 30 must be multiple of WORLD_SIZE\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 530, in main\n",
" assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'\n",
"AssertionError: --batch-size 30 must be multiple of WORLD_SIZE\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 530, in main\n",
" assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'\n",
"AssertionError: --batch-size 30 must be multiple of WORLD_SIZE\n",
"YOLO 🚀 v0.1-94-gcd88016 Python-3.10.13 torch-2.2.0 CUDA:0 (NVIDIA GeForce RTX 4090, 24217MiB)\n",
" CUDA:1 (NVIDIA GeForce RTX 4090, 24217MiB)\n",
"\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 530, in main\n",
" assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'\n",
"AssertionError: --batch-size 30 must be multiple of WORLD_SIZE\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 530, in main\n",
" assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'\n",
"AssertionError: --batch-size 30 must be multiple of WORLD_SIZE\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 530, in main\n",
" assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'\n",
"AssertionError: --batch-size 30 must be multiple of WORLD_SIZE\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 530, in main\n",
" assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'\n",
"AssertionError: --batch-size 30 must be multiple of WORLD_SIZE\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 530, in main\n",
" assert opt.batch_size % WORLD_SIZE == 0, f'--batch-size {opt.batch_size} must be multiple of WORLD_SIZE'\n",
"AssertionError: --batch-size 30 must be multiple of WORLD_SIZE\n",
"[2024-06-01 23:55:26,209] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: 1) local_rank: 0 (pid: 4360) of binary: /opt/conda/bin/python\n",
"Traceback (most recent call last):\n",
" File \"/opt/conda/bin/torchrun\", line 33, in <module>\n",
" sys.exit(load_entry_point('torch==2.2.0', 'console_scripts', 'torchrun')())\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py\", line 347, in wrapper\n",
" return f(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py\", line 812, in main\n",
" run(args)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/distributed/run.py\", line 803, in run\n",
" elastic_launch(\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py\", line 135, in __call__\n",
" return launch_agent(self._config, self._entrypoint, list(args))\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/distributed/launcher/api.py\", line 268, in launch_agent\n",
" raise ChildFailedError(\n",
"torch.distributed.elastic.multiprocessing.errors.ChildFailedError: \n",
"============================================================\n",
"train_dual.py FAILED\n",
"------------------------------------------------------------\n",
"Failures:\n",
"[1]:\n",
" time : 2024-06-01_23:55:26\n",
" host : de3bed18af84\n",
" rank : 1 (local_rank: 1)\n",
" exitcode : 1 (pid: 4361)\n",
" error_file: <N/A>\n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"[2]:\n",
" time : 2024-06-01_23:55:26\n",
" host : de3bed18af84\n",
" rank : 2 (local_rank: 2)\n",
" exitcode : 1 (pid: 4362)\n",
" error_file: <N/A>\n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"[3]:\n",
" time : 2024-06-01_23:55:26\n",
" host : de3bed18af84\n",
" rank : 3 (local_rank: 3)\n",
" exitcode : 1 (pid: 4363)\n",
" error_file: <N/A>\n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"[4]:\n",
" time : 2024-06-01_23:55:26\n",
" host : de3bed18af84\n",
" rank : 4 (local_rank: 4)\n",
" exitcode : 1 (pid: 4364)\n",
" error_file: <N/A>\n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"[5]:\n",
" time : 2024-06-01_23:55:26\n",
" host : de3bed18af84\n",
" rank : 5 (local_rank: 5)\n",
" exitcode : 1 (pid: 4365)\n",
" error_file: <N/A>\n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"[6]:\n",
" time : 2024-06-01_23:55:26\n",
" host : de3bed18af84\n",
" rank : 6 (local_rank: 6)\n",
" exitcode : 1 (pid: 4366)\n",
" error_file: <N/A>\n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"[7]:\n",
" time : 2024-06-01_23:55:26\n",
" host : de3bed18af84\n",
" rank : 7 (local_rank: 7)\n",
" exitcode : 1 (pid: 4367)\n",
" error_file: <N/A>\n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"------------------------------------------------------------\n",
"Root Cause (first observed failure):\n",
"[0]:\n",
" time : 2024-06-01_23:55:26\n",
" host : de3bed18af84\n",
" rank : 0 (local_rank: 0)\n",
" exitcode : 1 (pid: 4360)\n",
" error_file: <N/A>\n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"============================================================\n"
]
}
],
"source": [
"!torchrun --nproc_per_node 2 --master_port 9527 train_dual.py \\\n",
"--workers 8 --device 0,1 --sync-bn --batch 30 --data '/workspace/norway/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": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2024-06-02 02:12:23,563] torch.distributed.run: [WARNING] \n",
"[2024-06-02 02:12:23,563] torch.distributed.run: [WARNING] *****************************************\n",
"[2024-06-02 02:12:23,563] torch.distributed.run: [WARNING] 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",
"[2024-06-02 02:12:23,563] torch.distributed.run: [WARNING] *****************************************\n",
"\u001b[34m\u001b[1mtrain_dual: \u001b[0mweights=, cfg=models/detect/yolov9-c.yaml, data=/workspace/road damage/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, name=yolov9-c, exist_ok=False, quad=False, cos_lr=False, flat_cos_lr=False, fixed_lr=False, label_smoothing=0.0, patience=100, freeze=[0], save_period=-1, seed=0, local_rank=-1, min_items=0, close_mosaic=15, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest\n",
"YOLO 🚀 v0.1-94-gcd88016 Python-3.10.13 torch-2.2.0 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[1mClearML: \u001b[0mrun 'pip install clearml' to automatically track, visualize and remotely train YOLO 🚀 in ClearML\n",
"\u001b[34m\u001b[1mComet: \u001b[0mrun 'pip install comet_ml' to automatically track and visualize YOLO 🚀 runs in Comet\n",
"\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train', view at http://localhost:6006/\n",
"Overriding model.yaml nc=80 with nc=7\n",
"\n",
" from n params module arguments \n",
" 0 -1 1 0 models.common.Silence [] \n",
" 1 -1 1 1856 models.common.Conv [3, 64, 3, 2] \n",
" 2 -1 1 73984 models.common.Conv [64, 128, 3, 2] \n",
" 3 -1 1 291456 models.common.RepNCSPELAN4 [128, 256, 128, 64, 3] \n",
" 4 -1 1 164352 models.common.ADown [256, 256] \n",
" 5 -1 1 1160448 models.common.RepNCSPELAN4 [256, 512, 256, 128, 3] \n",
" 6 -1 1 656384 models.common.ADown [512, 512] \n",
" 7 -1 1 4105728 models.common.RepNCSPELAN4 [512, 512, 512, 256, 3] \n",
" 8 -1 1 656384 models.common.ADown [512, 512] \n",
" 9 -1 1 4105728 models.common.RepNCSPELAN4 [512, 512, 512, 256, 3] \n",
" 10 -1 1 656896 models.common.SPPELAN [512, 512, 256] \n",
" 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 12 [-1, 7] 1 0 models.common.Concat [1] \n",
" 13 -1 1 3119616 models.common.RepNCSPELAN4 [1024, 512, 512, 256, 1] \n",
" 14 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
" 15 [-1, 5] 1 0 models.common.Concat [1] \n",
" 16 -1 1 912640 models.common.RepNCSPELAN4 [1024, 256, 256, 128, 1] \n",
" 17 -1 1 164352 models.common.ADown [256, 256] \n",
" 18 [-1, 13] 1 0 models.common.Concat [1] \n",
" 19 -1 1 2988544 models.common.RepNCSPELAN4 [768, 512, 512, 256, 1] \n",
" 20 -1 1 656384 models.common.ADown [512, 512] \n",
" 21 [-1, 10] 1 0 models.common.Concat [1] \n",
" 22 -1 1 3119616 models.common.RepNCSPELAN4 [1024, 512, 512, 256, 1] \n",
" 23 5 1 131328 models.common.CBLinear [512, [256]] \n",
" 24 7 1 393984 models.common.CBLinear [512, [256, 512]] \n",
" 25 9 1 656640 models.common.CBLinear [512, [256, 512, 512]] \n",
" 26 0 1 1856 models.common.Conv [3, 64, 3, 2] \n",
" 27 -1 1 73984 models.common.Conv [64, 128, 3, 2] \n",
" 28 -1 1 212864 models.common.RepNCSPELAN4 [128, 256, 128, 64, 1] \n",
" 29 -1 1 164352 models.common.ADown [256, 256] \n",
" 30 [23, 24, 25, -1] 1 0 models.common.CBFuse [[0, 0, 0]] \n",
" 31 -1 1 847616 models.common.RepNCSPELAN4 [256, 512, 256, 128, 1] \n",
" 32 -1 1 656384 models.common.ADown [512, 512] \n",
" 33 [24, 25, -1] 1 0 models.common.CBFuse [[1, 1]] \n",
" 34 -1 1 2857472 models.common.RepNCSPELAN4 [512, 512, 512, 256, 1] \n",
" 35 -1 1 656384 models.common.ADown [512, 512] \n",
" 36 [25, -1] 1 0 models.common.CBFuse [[2]] \n",
" 37 -1 1 2857472 models.common.RepNCSPELAN4 [512, 512, 512, 256, 1] \n",
" 38[31, 34, 37, 16, 19, 22] 1 21556682 models.yolo.DualDDetect [7, [512, 512, 512, 256, 512, 512]]\n",
"yolov9-c summary: 1170 layers, 53901386 parameters, 53901354 gradients, 252.0 GFLOPs\n",
"\n",
"\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n",
"\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 286 weight(decay=0.0), 303 weight(decay=0.00046875), 301 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/road damage/train/labels... 4672 images, 345 backgrou\u001b[0m\n",
"\u001b[34m\u001b[1mtrain: \u001b[0mWARNING ⚠️ /workspace/road damage/train/images/Japan_006916_jpg.rf.5dc73c813f7053289379ab9cf4e81173.jpg: 1 duplicate labels removed\n",
"\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /workspace/road damage/train/labels.cache\n",
"\u001b[34m\u001b[1mval: \u001b[0mScanning /workspace/road damage/valid/labels... 450 images, 34 backgrounds,\u001b[0m\n",
"\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /workspace/road damage/valid/labels.cache\n",
"Plotting labels to runs/train/yolov9-c4/labels.jpg... \n",
"Image sizes 640 train, 640 val\n",
"Using 16 dataloader workers\n",
"Logging results to \u001b[1mruns/train/yolov9-c4\u001b[0m\n",
"Starting training for 500 epochs...\n",
"\n",
" Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
" 0/499 20.4G 4.8 6.503 5.217 74 640: Exception in thread Thread-11 (plot_images):\n",
"Traceback (most recent call last):\n",
" File \"/opt/conda/lib/python3.10/threading.py\", line 1016, in _bootstrap_inner\n",
" self.run()\n",
" File \"/opt/conda/lib/python3.10/threading.py\", line 953, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/workspace/yolov9/utils/plots.py\", line 300, in plot_images\n",
" annotator.box_label(box, label, color=color)\n",
" File \"/workspace/yolov9/utils/plots.py\", line 86, in box_label\n",
" w, h = self.font.getsize(label) # text width, height\n",
"AttributeError: 'FreeTypeFont' object has no attribute 'getsize'\n",
" 0/499 20.4G 4.903 6.657 5.212 61 640: Exception in thread Thread-12 (plot_images):\n",
"Traceback (most recent call last):\n",
" File \"/opt/conda/lib/python3.10/threading.py\", line 1016, in _bootstrap_inner\n",
" self.run()\n",
" File \"/opt/conda/lib/python3.10/threading.py\", line 953, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/workspace/yolov9/utils/plots.py\", line 300, in plot_images\n",
" annotator.box_label(box, label, color=color)\n",
" File \"/workspace/yolov9/utils/plots.py\", line 86, in box_label\n",
" w, h = self.font.getsize(label) # text width, height\n",
"AttributeError: 'FreeTypeFont' object has no attribute 'getsize'\n",
" 0/499 20.4G 4.703 6.511 5.215 57 640: Exception in thread Thread-13 (plot_images):\n",
"Traceback (most recent call last):\n",
" File \"/opt/conda/lib/python3.10/threading.py\", line 1016, in _bootstrap_inner\n",
" self.run()\n",
" File \"/opt/conda/lib/python3.10/threading.py\", line 953, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/workspace/yolov9/utils/plots.py\", line 300, in plot_images\n",
" annotator.box_label(box, label, color=color)\n",
" File \"/workspace/yolov9/utils/plots.py\", line 86, in box_label\n",
" w, h = self.font.getsize(label) # text width, height\n",
"AttributeError: 'FreeTypeFont' object has no attribute 'getsize'\n",
" 0/499 20.5G 4.674 6.804 5.251 49 640: ^C\n",
"[2024-06-02 02:12:52,085] torch.distributed.elastic.agent.server.api: [WARNING] Received Signals.SIGINT death signal, shutting down workers\n",
"[2024-06-02 02:12:52,086] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 11363 closing signal SIGINT\n",
"[2024-06-02 02:12:52,086] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 11364 closing signal SIGINT\n",
" 0/499 20.5G 4.674 6.804 5.251 49 640: \n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 538, in main\n",
" train(opt.hyp, opt, device, callbacks)\n",
" File \"/workspace/yolov9/train_dual.py\", line 314, in train\n",
" pred = model(imgs) # forward\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py\", line 1523, in forward\n",
" else self._run_ddp_forward(*inputs, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py\", line 1359, in _run_ddp_forward\n",
" return self.module(*inputs, **kwargs) # type: ignore[index]\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/yolov9/models/yolo.py\", line 633, in forward\n",
" return self._forward_once(x, profile, visualize) # single-scale inference, train\n",
" File \"/workspace/yolov9/models/yolo.py\", line 533, in _forward_once\n",
" x = m(x) # run\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/yolov9/models/yolo.py\", line 225, in forward\n",
" d1.append(torch.cat((self.cv2[i](x[i]), self.cv3[i](x[i])), 1))\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py\", line 217, in forward\n",
" input = module(input)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/yolov9/models/common.py\", line 54, in forward\n",
" return self.act(self.bn(self.conv(x)))\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py\", line 767, in forward\n",
" return sync_batch_norm.apply(\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/autograd/function.py\", line 553, in apply\n",
" return super().apply(*args, **kwargs) # type: ignore[misc]\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/_functions.py\", line 89, in forward\n",
" counts = count_all.view(-1)\n",
"KeyboardInterrupt\n",
"Traceback (most recent call last):\n",
" File \"/workspace/yolov9/train_dual.py\", line 644, in <module>\n",
" main(opt)\n",
" File \"/workspace/yolov9/train_dual.py\", line 538, in main\n",
" train(opt.hyp, opt, device, callbacks)\n",
" File \"/workspace/yolov9/train_dual.py\", line 314, in train\n",
" pred = model(imgs) # forward\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py\", line 1523, in forward\n",
" else self._run_ddp_forward(*inputs, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/parallel/distributed.py\", line 1359, in _run_ddp_forward\n",
" return self.module(*inputs, **kwargs) # type: ignore[index]\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/yolov9/models/yolo.py\", line 633, in forward\n",
" return self._forward_once(x, profile, visualize) # single-scale inference, train\n",
" File \"/workspace/yolov9/models/yolo.py\", line 533, in _forward_once\n",
" x = m(x) # run\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/yolov9/models/yolo.py\", line 225, in forward\n",
" d1.append(torch.cat((self.cv2[i](x[i]), self.cv3[i](x[i])), 1))\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/container.py\", line 217, in forward\n",
" input = module(input)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/workspace/yolov9/models/common.py\", line 54, in forward\n",
" return self.act(self.bn(self.conv(x)))\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1511, in _wrapped_call_impl\n",
" return self._call_impl(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/module.py\", line 1520, in _call_impl\n",
" return forward_call(*args, **kwargs)\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py\", line 767, in forward\n",
" return sync_batch_norm.apply(\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/autograd/function.py\", line 553, in apply\n",
" return super().apply(*args, **kwargs) # type: ignore[misc]\n",
" File \"/opt/conda/lib/python3.10/site-packages/torch/nn/modules/_functions.py\", line 89, in forward\n",
" counts = count_all.view(-1)\n",
"KeyboardInterrupt\n"
]
}
],
"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"
]
},
{
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
|