From 58d300aa3981df623b94ea8015940eba64da310b Mon Sep 17 00:00:00 2001 From: JiayuXu <420249001@qq.com> Date: Thu, 6 Mar 2025 16:50:43 +0800 Subject: [PATCH 1/3] Swap the App ID and Access key description. --- demohouse/video_analyser/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/demohouse/video_analyser/README.md b/demohouse/video_analyser/README.md index 53070e20..d842432c 100644 --- a/demohouse/video_analyser/README.md +++ b/demohouse/video_analyser/README.md @@ -54,8 +54,8 @@ | ------------ | --------------------------------- | | VLM_ENDPOINT | doubao-vision-pro 32k endpoint id | | LLM_ENDPOINT | doubao-pro 32k endpoint id | - | access_key | **语音服务**应用 APP ID | - | app_key | **语音服务**应用 Access Token | + | access_key | **语音服务**应用 Access Token | + | app_key | **语音服务**应用 APP ID | - 修改 `frontend/run.sh` 中配置，填入刚刚获取的APP ID和 Access Token From 46e5c28f2742bcb56d4777e8218de0baf40a4586 Mon Sep 17 00:00:00 2001 From: JiayuXu <84259897+JiayuXu0@users.noreply.github.com> Date: Wed, 21 May 2025 10:28:11 +0800 Subject: [PATCH 2/3] Created using Colab --- test_anomalib.ipynb | 650 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 650 insertions(+) create mode 100644 test_anomalib.ipynb diff --git a/test_anomalib.ipynb b/test_anomalib.ipynb new file mode 100644 index 00000000..413b37fe --- /dev/null +++ b/test_anomalib.ipynb @@ -0,0 +1,650 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "mount_file_id": "1QvA-FDqZFVdXiPmhl6RZmvgAVS8DibP6", + "authorship_tag": "ABX9TyOb3nws8PKEpo9u8qltQk7p", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "y1pz_G13mSq_", + "outputId": "c1d5b77a-bd8f-4a2c-a548-0ea7463f0bfa" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Wed May 21 02:12:07 2025 \n", + "+-----------------------------------------------------------------------------------------+\n", + "| NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 |\n", + "|-----------------------------------------+------------------------+----------------------+\n", + "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", + "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", + "| | | MIG M. |\n", + "|=========================================+========================+======================|\n", + "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", + "| N/A 47C P8 11W / 70W | 0MiB / 15360MiB | 0% Default |\n", + "| | | N/A |\n", + "+-----------------------------------------+------------------------+----------------------+\n", + " \n", + "+-----------------------------------------------------------------------------------------+\n", + "| Processes: |\n", + "| GPU GI CI PID Type Process name GPU Memory |\n", + "| ID ID Usage |\n", + "|=========================================================================================|\n", + "| No running processes found |\n", + "+-----------------------------------------------------------------------------------------+\n" + ] + } + ], + "source": [ + "!nvidia-smi" + ] + }, + { + "cell_type": "markdown", + "source": [ + "# New Section" + ], + "metadata": { + "id": "i7sLiK7OnSRY" + } + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "id": "je0Q6FOLoT4M" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "!pip install anomalib[full]\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "mPKSMZkNpNI0", + "outputId": "c9efa759-77ea-4329-acc5-1cb6c18d0bd3" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting anomalib[full]\n", + " Downloading anomalib-2.0.0-py3-none-any.whl.metadata (26 kB)\n", + "Collecting omegaconf>=2.1.1 (from anomalib[full])\n", + " Downloading omegaconf-2.3.0-py3-none-any.whl.metadata (3.9 kB)\n", + "Requirement already satisfied: rich>=13.5.2 in /usr/local/lib/python3.11/dist-packages (from anomalib[full]) (13.9.4)\n", + "Collecting 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jedi, gunicorn, groovy, graphql-core, ftfy, ffmpy, dulwich, dill, configobj, cma, av, aiofiles, about-time, starlette, nvidia-cusparse-cu12, nvidia-cudnn-cu12, graphql-relay, docker, alive-progress, alembic, safehttpx, rich_argparse, pymoo, ollama, nvidia-cusolver-cu12, graphene, gradio-client, fastapi, databricks-sdk, nncf, mlflow-skinny, gradio, comet-ml, anomalib, torchmetrics, mlflow, kornia, freia, pytorch-lightning, open-clip-torch, lightning\n", + " Attempting uninstall: python-box\n", + " Found existing installation: python-box 7.3.2\n", + " Uninstalling python-box-7.3.2:\n", + " Successfully uninstalled python-box-7.3.2\n", + " Attempting uninstall: nvidia-nvjitlink-cu12\n", + " Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n", + " Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n", + " Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n", + " Attempting uninstall: nvidia-curand-cu12\n", + " Found existing installation: nvidia-curand-cu12 10.3.6.82\n", + " Uninstalling nvidia-curand-cu12-10.3.6.82:\n", + " Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n", + " Attempting uninstall: nvidia-cufft-cu12\n", + " Found existing installation: nvidia-cufft-cu12 11.2.3.61\n", + " Uninstalling nvidia-cufft-cu12-11.2.3.61:\n", + " Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n", + " Attempting uninstall: nvidia-cuda-runtime-cu12\n", + " Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n", + " Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n", + " Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n", + " Attempting uninstall: nvidia-cuda-nvrtc-cu12\n", + " Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n", + " Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n", + " Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n", + " Attempting uninstall: nvidia-cuda-cupti-cu12\n", + " Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n", + " Uninstalling nvidia-cuda-cupti-cu12-12.5.82:\n", + " Successfully uninstalled nvidia-cuda-cupti-cu12-12.5.82\n", + " Attempting uninstall: nvidia-cublas-cu12\n", + " Found existing installation: nvidia-cublas-cu12 12.5.3.2\n", + " Uninstalling nvidia-cublas-cu12-12.5.3.2:\n", + " Successfully uninstalled nvidia-cublas-cu12-12.5.3.2\n", + " Attempting uninstall: nvidia-cusparse-cu12\n", + " Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n", + " Uninstalling nvidia-cusparse-cu12-12.5.1.3:\n", + " Successfully uninstalled nvidia-cusparse-cu12-12.5.1.3\n", + " Attempting uninstall: nvidia-cudnn-cu12\n", + " Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n", + " Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n", + " Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\n", + " Attempting uninstall: nvidia-cusolver-cu12\n", + " Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n", + " Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n", + " Successfully uninstalled nvidia-cusolver-cu12-11.6.3.83\n", + "Successfully installed Mako-1.3.10 about-time-4.2.1 aiofiles-24.1.0 alembic-1.15.2 alive-progress-3.2.0 anomalib-2.0.0 antlr4-python3-runtime-4.9.3 av-14.4.0 cma-3.2.2 comet-ml-3.49.10 configobj-5.0.9 databricks-sdk-0.53.0 dill-0.4.0 docker-7.1.0 dulwich-0.22.8 everett-3.1.0 fastapi-0.115.12 ffmpy-0.5.0 freia-0.2 ftfy-6.3.1 gradio-5.30.0 gradio-client-1.10.1 grapheme-0.6.0 graphene-3.4.3 graphql-core-3.2.6 graphql-relay-3.2.0 groovy-0.1.2 gunicorn-23.0.0 jedi-0.19.2 jsonargparse-4.40.0 jstyleson-0.0.2 kornia-0.8.1 kornia_rs-0.1.9 lightning-2.5.1.post0 lightning-utilities-0.14.3 mlflow-2.22.0 mlflow-skinny-2.22.0 ninja-1.11.1.4 nncf-2.16.0 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 ollama-0.4.8 omegaconf-2.3.0 onnx-1.18.0 open-clip-torch-2.24.0 openvino-2025.1.0 openvino-telemetry-2025.1.0 pydub-0.25.1 pymoo-0.6.1.3 python-box-6.1.0 python-dotenv-1.1.0 python-multipart-0.0.20 pytorch-lightning-2.5.1.post0 rich_argparse-1.7.0 ruff-0.11.10 safehttpx-0.1.6 semantic-version-2.10.0 simplejson-3.20.1 starlette-0.46.2 tomlkit-0.13.2 torchmetrics-1.7.1 typeshed-client-2.7.0 uvicorn-0.34.2 wurlitzer-3.1.1\n" + ] + }, + { + "output_type": "display_data", + "data": { + "application/vnd.colab-display-data+json": { + "pip_warning": { + "packages": [ + "pydevd_plugins" + ] + }, + "id": "04a9d9e5b775417aadbb68484fa0b9a3" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from anomalib.data import Folder, MVTecAD\n", + "from anomalib.deploy import ExportType, OpenVINOInferencer\n", + "from anomalib.engine import Engine\n", + "from anomalib.models import Cflow, EfficientAd, Patchcore\n", + "from anomalib.utils.visualization import ImageResult\n", + "\n" + ], + "metadata": { + "id": "Yw9kHNfEqFdV" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file From 03ac474421957b7e23e70f7196ba40ea4ccc6a79 Mon Sep 17 00:00:00 2001 From: JiayuXu <84259897+JiayuXu0@users.noreply.github.com> Date: Wed, 21 May 2025 11:08:05 +0800 Subject: [PATCH 3/3] Created using Colab --- test_anomalib.ipynb | 15283 ++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 14675 insertions(+), 608 deletions(-) diff --git a/test_anomalib.ipynb b/test_anomalib.ipynb index 413b37fe..c17057f6 100644 --- a/test_anomalib.ipynb +++ b/test_anomalib.ipynb @@ -4,8 +4,9 @@ "metadata": { "colab": { "provenance": [], + "gpuType": "T4", "mount_file_id": "1QvA-FDqZFVdXiPmhl6RZmvgAVS8DibP6", - "authorship_tag": "ABX9TyOb3nws8PKEpo9u8qltQk7p", + "authorship_tag": "ABX9TyN+NmqoSzcdTEf40+nV/XhM", "include_colab_link": true }, "kernelspec": { @@ -14,634 +15,14700 @@ }, "language_info": { "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - 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"height": 0 + }, + "id": "y1pz_G13mSq_", + "outputId": "d3f58294-4042-4f33-b4a5-913af51a172f", + "collapsed": true + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Wed May 21 02:30:42 2025 \n", + "+-----------------------------------------------------------------------------------------+\n", + "| NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 |\n", + "|-----------------------------------------+------------------------+----------------------+\n", + "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", + "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", + "| | | MIG M. |\n", + "|=========================================+========================+======================|\n", + "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", + "| N/A 48C P8 10W / 70W | 0MiB / 15360MiB | 0% Default |\n", + "| | | N/A |\n", + "+-----------------------------------------+------------------------+----------------------+\n", + " \n", + "+-----------------------------------------------------------------------------------------+\n", + "| Processes: |\n", + "| GPU GI CI PID Type Process name GPU Memory |\n", + "| ID ID Usage |\n", + "|=========================================================================================|\n", + "| No running processes found |\n", + "+-----------------------------------------------------------------------------------------+\n" + ] + } + ], + "source": [ + "!pip install anomalib[full]" + ] + }, + { + "cell_type": "markdown", + "source": [ + "# New Section" + ], + "metadata": { + "id": "i7sLiK7OnSRY" + } + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "id": "je0Q6FOLoT4M", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "outputId": "eb166ff1-f855-414c-8d74-2b3afa64dbc5" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mounted at /content/drive\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from anomalib.data import Folder, MVTecAD\n", + "from anomalib.deploy import ExportType, OpenVINOInferencer\n", + "from anomalib.engine import Engine\n", + "from anomalib.models import Cflow, EfficientAd, Patchcore\n", + "from anomalib.utils.visualization import ImageResult\n", + "from torchvision.transforms import v2\n", + "import os" + ], + "metadata": { + "id": "Yw9kHNfEqFdV" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "augmentations = v2.Compose(\n", + " [\n", + " v2.RandomHorizontalFlip(\n", + " p=0.5\n", + " ), # Randomly flip images horizontally with 50% probability\n", + " v2.RandomVerticalFlip(\n", + " p=0.2\n", + " ), # Randomly flip images vertically with 20% probability\n", + " v2.RandomRotation(\n", + " degrees=30\n", + " ), # Randomly rotate images within a range of ±30 degrees\n", + " v2.RandomResizedCrop(\n", + " size=(256, 256), scale=(0.8, 1.0)\n", + " ), # Randomly crop and resize images\n", + " v2.ColorJitter(\n", + " brightness=0.1, contrast=0.1, saturation=0.1, hue=0.1\n", + " ), # Randomly adjust colors\n", + " v2.RandomGrayscale(\n", + " p=0.1\n", + " ), # Convert images to grayscale with 10% probability\n", + " ]\n", + ")\n", + "datamodule = Folder(\n", + " name=\"custom_folder\",\n", + " root=\"/content/drive/MyDrive/processed\",\n", + " normal_dir=\"train/good\",\n", + " abnormal_dir=\"test/quexian\",\n", + " mask_dir=\"ground_truth/quexian\",\n", + " train_batch_size=1,\n", + ")\n", + "datamodule.setup()\n", + "model = EfficientAd(imagenet_dir=\"data/imagenette2\")\n", + "# self.model = Cflow(\n", + "# anomaly_source_path=os.path.join(\n", + "# self.data_dir, \"images\", \"processed\", \"test\"\n", + "# ), # 异常样本路径\n", + "# task=\"segmentation\",\n", + "# )\n", + "# TODO\n", + "engine = Engine(max_epochs=300, accelerator=\"cuda\")\n", + "engine.fit(datamodule=datamodule, model=model)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 5396, + "referenced_widgets": [ + "d21a5fe96bc740adb3aa49aa4f7b51f6", + "48f1f66f47e54d3481872c35840793d7", + "ac1d8666ec9242e1902830655a03574f", + "92f8b0727e504957b3affbb2421ae9e0", + "8505528627df460ba1dd146a2de8b1ea", + "c0e2df0c47334d39a7a63fdfbec7d7f7", + "b5174d36979e47ecaa3d6f5a5008c47f", + "c7803595fbe0412fab228d8003dc9225", + "4b41c4e002624e9c818113f8d54f43af", + "015ac1a67eb440fcb20ba62d3eaf4f4f", + "dbe8378414dc4ba2998a7ac1fe79d494", + 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0 TPU cores\n", + "INFO:lightning_fabric.utilities.rank_zero:HPU available: False, using: 0 HPUs\n", + "INFO: LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", + "INFO:lightning.pytorch.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", + "/usr/local/lib/python3.11/dist-packages/torch/utils/data/dataloader.py:624: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.\n", + " warnings.warn(\n", + "INFO: \n", + " | Name | Type | Params | Mode \n", + "------------------------------------------------------------\n", + "0 | pre_processor | PreProcessor | 0 | train\n", + "1 | post_processor | PostProcessor | 0 | train\n", + "2 | evaluator | Evaluator | 0 | train\n", + "3 | model | EfficientAdModel | 8.1 M | train\n", + "------------------------------------------------------------\n", + "8.1 M Trainable params\n", + "0 Non-trainable params\n", + "8.1 M Total params\n", + "32.235 Total estimated model params size (MB)\n", + "48 Modules in train mode\n", + "7 Modules in eval mode\n", + "INFO:lightning.pytorch.callbacks.model_summary:\n", + " | Name | Type | Params | Mode \n", + "------------------------------------------------------------\n", + "0 | pre_processor | PreProcessor | 0 | train\n", + "1 | post_processor | PostProcessor | 0 | train\n", + "2 | evaluator | Evaluator | 0 | train\n", + "3 | model | EfficientAdModel | 8.1 M | train\n", + "------------------------------------------------------------\n", + "8.1 M Trainable params\n", + "0 Non-trainable params\n", + "8.1 M Total params\n", + "32.235 Total estimated model params size (MB)\n", + "48 Modules in train mode\n", + "7 Modules in eval mode\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Training: | | 0/? 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"Successfully built antlr4-python3-runtime freia jstyleson grapheme\n", - "Installing collected packages: pydub, openvino-telemetry, jstyleson, grapheme, everett, antlr4-python3-runtime, wurlitzer, uvicorn, typeshed-client, tomlkit, simplejson, semantic-version, ruff, python-multipart, python-dotenv, python-box, openvino, onnx, omegaconf, nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, ninja, Mako, lightning-utilities, kornia_rs, jsonargparse, jedi, gunicorn, groovy, graphql-core, ftfy, ffmpy, dulwich, dill, configobj, cma, av, aiofiles, about-time, starlette, nvidia-cusparse-cu12, nvidia-cudnn-cu12, graphql-relay, docker, alive-progress, alembic, safehttpx, rich_argparse, pymoo, ollama, nvidia-cusolver-cu12, graphene, gradio-client, fastapi, databricks-sdk, nncf, mlflow-skinny, gradio, comet-ml, anomalib, torchmetrics, mlflow, kornia, freia, pytorch-lightning, open-clip-torch, lightning\n", - " Attempting uninstall: python-box\n", - " Found existing installation: python-box 7.3.2\n", - " Uninstalling python-box-7.3.2:\n", - " Successfully uninstalled python-box-7.3.2\n", - " Attempting uninstall: nvidia-nvjitlink-cu12\n", - " Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n", - " Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n", - " Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n", - " Attempting uninstall: nvidia-curand-cu12\n", - " Found existing installation: nvidia-curand-cu12 10.3.6.82\n", - " Uninstalling nvidia-curand-cu12-10.3.6.82:\n", - " Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n", - " Attempting uninstall: nvidia-cufft-cu12\n", - " Found existing installation: nvidia-cufft-cu12 11.2.3.61\n", - " Uninstalling nvidia-cufft-cu12-11.2.3.61:\n", - " Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n", - " Attempting uninstall: nvidia-cuda-runtime-cu12\n", - " Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n", - " Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n", - " Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n", - " Attempting uninstall: nvidia-cuda-nvrtc-cu12\n", - " Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n", - " Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n", - " Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n", - " Attempting uninstall: nvidia-cuda-cupti-cu12\n", - " Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n", - " Uninstalling nvidia-cuda-cupti-cu12-12.5.82:\n", - " Successfully uninstalled nvidia-cuda-cupti-cu12-12.5.82\n", - " Attempting uninstall: nvidia-cublas-cu12\n", - " Found existing installation: nvidia-cublas-cu12 12.5.3.2\n", - " Uninstalling nvidia-cublas-cu12-12.5.3.2:\n", - " Successfully uninstalled nvidia-cublas-cu12-12.5.3.2\n", - " Attempting uninstall: nvidia-cusparse-cu12\n", - " Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n", - " Uninstalling nvidia-cusparse-cu12-12.5.1.3:\n", - " Successfully uninstalled nvidia-cusparse-cu12-12.5.1.3\n", - " Attempting uninstall: nvidia-cudnn-cu12\n", - " Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n", - " Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n", - " Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\n", - " Attempting uninstall: nvidia-cusolver-cu12\n", - " Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n", - " Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n", - " Successfully uninstalled nvidia-cusolver-cu12-11.6.3.83\n", - "Successfully installed Mako-1.3.10 about-time-4.2.1 aiofiles-24.1.0 alembic-1.15.2 alive-progress-3.2.0 anomalib-2.0.0 antlr4-python3-runtime-4.9.3 av-14.4.0 cma-3.2.2 comet-ml-3.49.10 configobj-5.0.9 databricks-sdk-0.53.0 dill-0.4.0 docker-7.1.0 dulwich-0.22.8 everett-3.1.0 fastapi-0.115.12 ffmpy-0.5.0 freia-0.2 ftfy-6.3.1 gradio-5.30.0 gradio-client-1.10.1 grapheme-0.6.0 graphene-3.4.3 graphql-core-3.2.6 graphql-relay-3.2.0 groovy-0.1.2 gunicorn-23.0.0 jedi-0.19.2 jsonargparse-4.40.0 jstyleson-0.0.2 kornia-0.8.1 kornia_rs-0.1.9 lightning-2.5.1.post0 lightning-utilities-0.14.3 mlflow-2.22.0 mlflow-skinny-2.22.0 ninja-1.11.1.4 nncf-2.16.0 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127 ollama-0.4.8 omegaconf-2.3.0 onnx-1.18.0 open-clip-torch-2.24.0 openvino-2025.1.0 openvino-telemetry-2025.1.0 pydub-0.25.1 pymoo-0.6.1.3 python-box-6.1.0 python-dotenv-1.1.0 python-multipart-0.0.20 pytorch-lightning-2.5.1.post0 rich_argparse-1.7.0 ruff-0.11.10 safehttpx-0.1.6 semantic-version-2.10.0 simplejson-3.20.1 starlette-0.46.2 tomlkit-0.13.2 torchmetrics-1.7.1 typeshed-client-2.7.0 uvicorn-0.34.2 wurlitzer-3.1.1\n" - ] - }, - { - "output_type": "display_data", - "data": { - "application/vnd.colab-display-data+json": { - "pip_warning": { - "packages": [ - "pydevd_plugins" - ] - }, - "id": "04a9d9e5b775417aadbb68484fa0b9a3" + "Calculate Validation Dataset Quantiles: 100%|██████████| 2/2 [00:01<00:00, 1.14it/s]\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Validation: | | 0/? 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