Yolov5 weights. Create notebooks and keep track of their status here.

Returns: None Note: This function performs essential pre-execution checks and initiates the YOLOv5 detection process based on user-specified options. This function will send the specified weights up to the Roboflow cloud and deploy your model, ready for use on whatever deployment device you want (i. Refer to the usage guide and examples for more information about different May 11, 2022 · You RUN YOLO's detect. To upload model weights to Roboflow, you can use the deploy () function. Use the largest --batch-size that your hardware allows for. Train Custom Data 🚀 RECOMMENDED; Tips for Best Training Results ☘️ RECOMMENDED; Weights & Biases Logging 🌟 NEW; Supervisely Ecosystem 🌟 NEW; Multi-GPU Training; PyTorch Hub ⭐ NEW; TorchScript, ONNX, CoreML Export 🚀; Test-Time Augmentation (TTA) 604 lines (535 loc) · 29. hubin #36, and you comment that. You can change this by passing the -thresh <val> flag to the yolo command. load() method. We want to convert it into Yolov8, But we facing issue on utils and dataloders. Nov 15, 2021 · 1. pt file like what it is? Nov 22, 2022 · on Nov 22, 2022. You should use torch. Saved Keras model to model_data/yolo. py runs YOLOv5 Classification inference on a variety of sources, downloading models automatically from the latest YOLOv5 release, and saving results to runs/predict-cls. Aug 7, 2022 · YOLOv5 is already a cracking lightweight detection network where the trained weight model generally does not exceed 30 MB, which is still too large for some embedded devices. You switched accounts on another tab or window. Evaluate our YOLOv5 model's performance. Includes an easy-to-follow video and Google Colab. Nov 12, 2023 · To load a YOLOv5 model for training rather than inference, set autoshape=False. py in /home/yolov5/ dir for your source /home/train/images/, but you want to save only labels txt results in folder /home/train/labels/ without saving input images in result folder. load ( 'ultralytics/yolov5', 'yolov5s', pretrained=True, classes=10) In this case the model will be composed of pretrained weights except for the output layers, which are no longer the same shape as the pretrained output layers. 25 or higher. This is part of routine Ultralytics maintenance and takes place on every major YOLOv5 release. yolov5s. activate env python convert. classify/predict. I have 3 weight file. png, best. img. pt--epochs 1 $ yolov5 classify predict--img 640--weights yolov5s-cls. Before running inference, make sure that image. pt --include engine --device 0 --half. Attempting to cast down to INT32. py but I get Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. pt (recommended), or randomly initialized --weights '' --cfg yolov5s. py : Dec 13, 2021 · Search before asking. pt into the content/yolov5/weights directory. pt, or from randomly initialized --weights '' --cfg yolov5s-seg. img2label_paths = custom_img2label_paths. cfg fils. 昂础晋宴摸割致卧宪问：. load('ultralytics/yolov5', 'yolov5s', pretrained=True, classes=80) And there is a tutorial of the usage with torch. You must provide your own training script in this case. pt Right now, I run run every single weight file and detect particular section. Close the active learning loop by sampling images from your inference conditions with the `roboflow` pip package. pyとdetect. YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours Development. Weights & Biases, developer tools for machine learning. Train a YOLOv5s model on the COCO128 dataset with --data coco128. Let's say. You signed in with another tab or window. For example, to display all detection you can set the threshold to 0: . Instead, part of the initial weights are frozen in place, and the rest of the weights are used to compute loss and are updated by the Apr 21, 2022 · YOLOv5 and other YOLO networks use two files with the same name, but the extension of files is different. 4 participants. Model trained using the YOLOv5 model on Google Colab YOLOv5 repository was cloned into the cloud machine and train. But I want to detect those three section In one run. Weights & Biases is directly integrated into YOLOv5, providing experiment metric tracking, model and dataset versioning, rich model prediction visualization, and more. pt --data coco128. jpg -thresh 0. Release Asssets. I would recommend you start from the Train Custom Data tutorial which answers many of these questions: YOLOv5 Tutorials. torchscript # TorchScript yolov5s. You don I will use yolo weights in android so I plan to convert yolo weights file to tflite file. . to ( device) * nc # attach class weights. Instead, part of the initial weights are frozen in place, and the rest of the weights are used to compute loss and are updated by the optimizer. Recommended for small to medium-sized datasets (i. YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents Ultralyticsopen-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development. from models. pt, yolov5l. Ensure to validate the model’s performance through techniques like tensorboard visualization and rigorous validation to assess accuracy and efficacy in Ultralytics YOLOv5 🚀 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. After training the weights on YOLOv5 and saving the results on WandB, how do I save and retrieve those weights from WandB for using the trained weights to detect images in the test set? Nov 23, 2020 · If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. pt --img 640 # P5 model at 640 python edited. You can then run inference inside yolov5 folder by using this command: python detect. 一つの表中でオプションは五十音順にソートしております。. Dec 22, 2021 · Search before asking I have searched the YOLOv5 issues and discussions and found no similar questions. README. pt, yolov5m. Oct 25, 2020 · In our YOLOv5 example above where we linked our Google Drive, we loaded our weights called best. Pretrained weights are auto-downloaded from the latest YOLOv5 release. Apr 24, 2021 · @care55 yes you can start training from any pretreind YOLOv5 weights using the --weights command. If none of these apply to you, we suggest you close this issue and raise a new one using the Bug Report template , providing screenshots and minimum viable code to reproduce your issue . pt # evolve parameters for specified tracking method using the selected detections and embeddings Jun 10, 2020 · edited. Our new YOLOv5 v7. ; Question. I have searched the YOLOv5 issues and discussions and found no similar questions. To do so we import a Google Drive module and send them out. pt、yolov5m. We freeze only the backbone layers (10) and again train. Apr 12, 2022 · You can’t ignore YOLOv5! YOLOv5 has gained much traction, controversy, and appraisals since its first release in 2020. Models and datasets download automatically from the latest YOLOv5 release. py --img-size 640 --batch 8 --epochs 300 --data data. py ), inference ( detect. Jun 16, 2022 · Ashlesha1995 commented on Jun 20, 2022. This project uses YOLOv5 to realize character detection in CSGO games and auto aim. YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development. py yolov3. hai @jungyin you can follow the yolov5 train custom data, there while traing pass weights as empty. - enazoe/yolo-tensorrt Nov 18, 2020 · @lewisMurch see YOLOv5 PyTorch Hub tutorial for correct commands: YOLOv5 Tutorials. Feb 20, 2024 · Transfer the selected weight file to the “YoloV5/weights” folder. 分割模型使用示例. And please enlighten your thoughts on best. CI tests verify correct operation of YOLOv5 training ( train. yaml, starting from pretrained --weights yolov5s. pt --batch 1. Jan 6, 2023 · Weights, Biases, Parameters, Gradients, and Final Model Summary. Pass the name of the model to the --weights argument. torchscript inputshape=[1,3,640,640] 得到了yolov5s. e. By default, YOLO only displays objects detected with a confidence of . Question. pt--source images/ Segment. To do so we will take the following steps: Gather a dataset of images and label our dataset. 我们希望这里的资源能帮助您充分利用 YOLOv5。. To look closely at weights, biases, shapes, and parameters at each layer in the YOLOv5-small model, refer to the following information. To load a model with randomly initialized weights (to train from scratch) use pretrained=False. pt和yolov5x. Create notebooks and keep track of their status here. Jan 7, 2023 · This will include the source code and pretrained weights for the model. model=torch. txt text file where information about the labels within the image is stored. Aug 15, 2020 · If you are running YOLOv5 locally, ensure your environment meets all of the requirements. While training you can pass the YAML file to select any of these models. class_weights = labels_to_class_weights ( dataset. LoadImagesAndLabels. darknet -> tensorrt. Only last. Predict. ※【引用】YOLOv5のコードは こちら 。. Train/Val/Predict with YOLOv5 instance Jul 8, 2022 · YOLOv5 🚀 official weights are available to download 3 ways: Download Script. Oct 11, 2020 · To achieve this, you can add a callback function to save the model's weights at the end of each epoch. 在这种情况下，您必须提供自己的培训脚本。或者参见我们的YOLOv5 培训自定义数据教程 用于模型训练。 If the issue persists, it's likely a problem on our side. py --source . One file is the jpeg image file and the other is . Nov 10, 2021 · The other method is directly change the class weight which is this thread mainly discussed. py. /inference/images/ folder and the weights is set as the yolov5s. It can track any object that your Yolov5 model was trained to detect. Example inputs: weights=[a,b,c] or a single model weights=[a] or weights=a. ptなどのpretrainされたものを使う。これで指定するとダウンロードされる。 Dec 13, 2021 · I have searched the YOLOv5 issues and discussions and found no similar questions. orig_cache_labels = utils. yolov5-v7. content_copy. Trained with Synthetic Fruit dataset (5000 training, 1000 validation images) Tested Model Hyperparameters: Epochs->50, Batch Size->1 (CUDA OOM Issues). PathLike object. Excitation obtains the weight of each channel after normalization through two layers of full History. It does not matter how many output classes are specified in yolov5s. It's normal using. Support Yolov5n,s,m,l,x . pt yolov8s. YOLOv5 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection 1. yolov5-l which is a large version. The detections generated by YOLOv5, a family of object detection architectures and models pretrained on the COCO dataset, are passed to a Deep Sort algorithm which tracks the objects. Other options are yolov5n. I have modified coco128. yaml, starting from pretrained --weights yolov5s-seg. Jun 15, 2020 · To train the YOLOv5 Glenn has proposed 4 versions. License. 1 Post-training Optimization Tool (POT) API for YOLOv5 Model INT8 quantization, to achieve model compression and inference performance improvement. pt or you own custom training checkpoint i. py ) and export ( export. Recently, YOLOv5 extended support to the OpenCV DNN framework, which added the advantage of using this state-of-the-art object detection model – Yolov5 OpenCV DNN Module. To upload model weights, use the following weights: Pretrained weights you want to start training from. pt--include torchscript,onnx,coreml,pb,tfjs Classify. pt --include torchscript 使用命令行pnnx yolov5s. In yolov5 we use this lines of code, import utils. Small batch sizes produce poor batchnorm statistics and should be avoided. 模型转换 到 FP32 的 ONNX 和 FP16 的 TensorRT 脚本为 export. Jun 10, 2020 · Export Saved YOLOv5 Weights for Future Inference . py should be in inside yolov5 folder. pt --cache. Please, help me to save the best-trained weights. pt and detect. pt; legs. You can see their comparison here. py --weights yolov5m. yaml --img 640 Usage - formats: $ python val. pt checkpoint. 引数がなしとなっているオプションはそのオプションを記述することでflagが立つ (Trueと Nov 12, 2023 · 生成和导出 中的数据集 YOLOv5 Pytorch 格式。确保应用了预处理步骤，如自动调整方向和调整大小（拉伸）至正方形输入尺寸（如 640x640）。 下载数据集，并将其整合到YOLOv5 训练脚本中。 在商业应用中使用YOLOv5 有哪些许可选项？ Ultralytics 提供两种许可选项： Nov 14, 2021 · This YOLOv3 release merges the most recent updates to YOLOv5 featured in the April 11th, 2021 YOLOv5 v5. pt weight folder located in your yolov5 directory. 0 instance segmentation models are the fastest and most accurate in the world, beating all current SOTA benchmarks. pt --reid-model weights/osnet_x0_25_msmt17. py --img 640 --batch 16 --epochs 3 --data coco128. If you want to train from scratch, use --weights ' ' name: Various things about training such as train logs. GPL-3. If we simply choose to reduce the size of the network input, such as 640 to 320, as the size of the model is reduced accordingly the detection effect will also have a To load a pretrained YOLOv5s model with 10 output classes rather than the default 80: model=torch. load ( 'ultralytics/yolov5', 'yolov5s' ) Oct 11, 2021 · yolov5/data内にある設定が書いてあるyamlファイルの指定--cfg: yolov5/models内にあるモデル構造の指定(pretrainモデルを指定しない場合に指定する)--weights: 重みを指定(推奨はyolov5s. In addition, we provide the FP32 and INT8 model accuracy calculation methods, introduce OpenVINO Benchmark App for performance If you want to build the engine for your custom weights, simply do the following: Train Yolov5 on your custom dataset; Export Weights PyTorch weights to ONNX; Make sure you use the ---dynamic flag while exporting your custom weights. py --weights yolov5s-seg. 目录. pt，这四个权重文件保存在YOLOv5官方项目的weights文件夹中，如下图：weights文件夹内容因为我们创建的 Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources はじめに. Reload to refresh your session. (These are written in the docs). 想進一步提升AP表現，可以參考 Advanced YoloV5 tutorial — Enhancing YoloV5 with Weighted Boxes Fusion、Fusing EfficientNet & YoloV5 — Advanced Object Detection 2 stage pipeline tutorial、Kaggle上的notebooks 6. See function `parse_opt` for details. Monitor loss; if it continues decreasing after 50 epochs, consider extending training based on dataset characteristics. py --data coco. Documentation. YOLOv5のtrain. h5 Finally, it did. If the wrapper is useful to you,please Star it. py --img 640 --batch 16 --epochs 150 --data pollen_data. Track and debug your YOLOv5 models. model. pt, along with their P6 counterparts i. 0 python export. weights data/dog. And also no need to increment dir) Dec 5, 2020 · This issue only occur when somebody are loading the trained model with torch. py --data coco128. sh. dataloaders. Thus, the script where we use our model weights to call inference should reference this weights file path. py --source 0 # webcam. vid. 0 release): 3 output layers P3, P4, P5 at strides 8, 16, 32, trained at --img 640 YOLOv5-P6 models: 4 output layers P3, P4, P5, P6 at strides 8, 16, 32, 64 trained at --img 1280 Example usage: # Command Line python detect. Batch size. yolov5-x which is an extra-large version. Training weights would be stored in a folder named runs/train/name; hyp: YAML file that describes hyperparameter choices. Additionally, you can also refer to the following brief summary of the YOLO v5 — small model. yolov5/train. mp4 # video. Jul 12, 2023 · edited. pt, or from randomly initialized --weights '' --cfg yolov5s. Train a YOLOv5s-seg model on the COCO128 dataset with --data coco128-seg. Train Custom Data 🚀 RECOMMENDED; Tips for Best Training Results ☘️ RECOMMENDED; Weights & Biases Logging 🌟 NEW This repository contains a two-stage-tracker. Jun 9, 2021 · Also copy the image that you want to test inside yolov5 folder. I use this code in anaconda prompt because I downloaded keras library in env. Here is the syntax python train. Jun 7, 2022 · Project description. hub. param，它的内容是 Apr 20, 2023 · 我们在第七篇—YOLOv5模型创建（YOLOv5专题）中完成了YOLOv5模型的创建，YOLOv5官方提供了YOLOv5s、YOLOv5m、YOLOv5l和YOLOv5x四个模型在COCO数据集上训练的权重文件，分别是yolov5s. YoloV5 best weights trained on custom repository. 0 license """ Train a YOLOv5 model on a custom dataset. It can be seen from our graphs above, even with the smallest pre-trained weights and relatively low number of epochs our model is performing really well, especially in senario 1 and 2. VOC, VisDrone, GlobalWheat). This will involve collecting and labeling a large number of images that contain the objects you want I have been training the yolov5 for my custom dataset but it is unable to save best. Oct 22, 2020 · 5. Automatic bounding box debugging, system metrics, model performance metrics in the cloud, and shareable and reproducible model training for YOLOv5, using W&B. This tutorial guides you through installing and running YOLOv5 on Windows with PyTorch GPU support. I want to detect Face,hand,legs in single screen. pt、yolov5l. Prepare your dataset. All pretrained layers with matching sizes are loaded. Apr 22, 2021 · YOLOv5 is a popular repository for training YOLO-type single shot object det Hey everyone! In this we'll be looking at YOLOv5 & Weights & Biases integration. Subscribe. utils. See full details in our Release Notes and visit our YOLOv5 Segmentation Colab Notebook for quickstart tutorials. pt; hands. pt files This is the code that I run before executing train. pt # PyTorch yolov5s. 0 release into this repository. Alternatively see our YOLOv5 Train Custom Data Tutorial for model training. Export our dataset to YOLOv5. Nov 12, 2023 · 📚 This guide explains how to freeze YOLOv5 🚀 layers when transfer learning. We have been experimenting with YOLOv5 for a while Sep 20, 2022 · In this article, we will introduce how to use OpenVINO TM 2022. huband setting pretrainedto be False. the height of the image will be adjusted accordingly, respecting the aspect ratio and stride needs. Explore and run machine learning code with Kaggle Notebooks | Using data from coco128. No Active Events. runs/exp/weights/best. Refresh. pt --source image. W&B is directly integrated into YOLOv5, providing experiment metric tracking, model and dataset versioning, rich model prediction visualization, and more. yolov5-m which is a medium version. pt and yolov5x. It's as easy as running a single pip install before you run your YOLO experiments! Nov 12, 2023 · Train a YOLOv5s model on COCO128 by specifying dataset, batch-size, image size and either pretrained --weights yolov5s. py was run with the following parameters: img 256, epochs 100, batch-size 32 TensorRT8. In this tutorial, we assemble a dataset and train a custom YOLOv5 model to recognize the objects in our dataset. Contribute to ultralytics/yolov5 development by creating an account on GitHub. # saves dets and embs under . onnx # ONNX Runtime Contribute to ultralytics/yolov5 development by creating an account on GitHub. Luxonis OAK, web browser, NVIDIA Jetson). yaml --weights yolov5x. face. yaml (not recommended). pt Model summary: 567 layers, 86217814 parameters, 86217814 gradients Nov 12, 2023 · 要加载YOLOv5 模型进行训练而不是推理，请设置 autoshape=False. warning during TRT engine creation. Models download automatically from the latest YOLOv5 release. 3. Train YOLOv5 to recognize the objects in our dataset. py --weights best. 丢瞬吱. Namespace): Command-line arguments for YOLOv5 detection. pt file is getting saved after every training. 986 lines (878 loc) · 46 KB. Now that our custom YOLOv5 object detector has been verified, we might want to take the weights out of Colab for use on a live computer vision task. Weights & Biases. weights and *. hub. Feb 1, 2023 · Export and Upload YOLOv5 Weights. 0 license. You should provide your path parameter as a either string or os. /assets/MOT17-mini/train --yolo-model yolov8n. load_state_dict() method to load your trained parameters to your model in addition to torch. In this report, we'll be going step-by-step through the process of getting you up-and-running with YOLOv5 and creating your own bounding boxes on your Windows machine. labels, nc ). py ), testing ( test. YOLOv5分割训练支持自动下载 COCO128-seg 分割数据集 YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. If you train an 80 class model, then all pretrained layers are loaded. Load a State Dict. Use: python3 /YOLOv5/yolov5/train. txt dependencies specified below. yaml --weights yolov5s. 0 license """ Validate a trained YOLOv5 detection model on a detection dataset. Example inference sources are: python classify/predict. Train/Val/Predict with YOLOv5 image classifier: $ yolov5 classify train--img 640--data mnist2560--weights yolov5s-cls. load(). # Ultralytics YOLOv5 🚀, AGPL-3. YOLOv5 🚀 是世界上最受欢迎的视觉 AI，代表 Ultralytics 对未来视觉 AI 方法的开源研究，结合在数千小时的研究和开发中积累的经验教训和最佳实践。. 📚 This guide explains how to freeze YOLOv5 🚀 layers when transfer learning. Usage - Single-GPU training: $ python train. Yolov4 Yolov3 use raw darknet *. Jun 23, 2022 · In the folder runs/train/exp there are two yaml-files, one 0-file and one weights folder But the weights folder is empty and does not have . Oct 16, 2023 · $ yolov5 export--weights yolov5s. instead of passing pre-trained weight, pass it as empty. 蜘睁火yolov5踪开，母静攒汽柄伺满棘存. YOLOv5可以使用ensemble testing提升測試結果 7. 怜王“玖”菠蛤. yaml --weights yolov5s-seg. We freeze all the layers in yolov5 and train. Which produces: We do not freeze any layer and train. Here's an example of how you can achieve this using PyTorch: import torch # Define your YOLOv5 model model = torch. Usage: $ python val. 请浏览 YOLOv5 文档 了解详细信息，在 GitHub 上提交问题以获得支持 Mar 27, 2022 · !python train. pyのオプションをまとめてみました。. Nov 12, 2023 · Start from Pretrained weights. with the shape of (nc). @ou525 @yxNONG you can request pretrained weights with train. jpg # image . yolo import Detect, Model Sep 15, 2022 · To solve this problem, an improved YOLOv5 road damage detection algorithm, MN-YOLOv5, was proposed. /darknet detect cfg/yolov3. Hyperparameters. Nov 16, 2022 · only takes one argument. ncnn. py --cfg c --weights yolov5s. pt --img 640 # from pretrained (recommended) $ python Jun 28, 2020 · It basically runs the YOLOv5 algorithm on all the images present in the . YOLOv5(Inference) 先ほど学習させたモデルを活用して推論を行いましょう。 その前に、推論で行うためのテスト画像を用意しておきましょう。 用意するのが難しい場合は、検証用画像を使用しましょう。 –weight: 先ほど学習させたモデルを指定します。 Nov 12, 2023 · 此徽章表示YOLOv5 GitHub Actions 的所有持续集成（CI）测试均已成功通过。这些 CI 测试严格检查了YOLOv5 在训练、验证、推理、导出和基准等多个关键方面的功能和性能。它们确保在 macOS、Windows 和 Ubuntu 上运行的一致性和可靠性，每 24 小时和每次新提交时都会进行一 Jan 16, 2024 · According to the recognition results of the YOLOv5 model and KNN color recognition, the study proposes a weighting subroutine to calculate the human weights of each block and the hierarchical human-weight-first (HWF) path planning algorithm to dispatch the UAV to capture images repeatedly of the search area and each block at different altitudes. You signed out in another tab or window. png Weights & Biases; Visualize model metrics and predictions and upload models and datasets in realtime with Comet: Automatically compile and quantize YOLOv5 for better inference performance in one click at Deci: Automatically track, visualize and even remotely train YOLOv5 using ClearML (open-source!) Args: opt (argparse. yaml. We've made them super simple to train, validate and deploy. Transfer learning is a useful way to quickly retrain a model on new data without having to retrain the entire network. 复现命令 python segment/val. py such as: python train. Maintainer. pt --include torchscript onnx openvino engine This release implements YOLOv5-P6 models and retrained YOLOv5-P5 models: YOLOv5-P5 models (same architecture as v4. Unexpected token < in JSON at position 4. weights model_data/yolo. SyntaxError: Unexpected token < in JSON at position 4. pt is the 'small' model, the second-smallest model available. /runs/dets_n_embs separately for each selected yolo and reid model $ python tracking/generate_dets_n_embs. keyboard_arrow_up. I generated an ONNX model with export. Question I want to train a yolov5s on my own dataset and randomly initialize the weights. 运行命令 python export. h5 Nov 12, 2023 · This command exports a pretrained YOLOv5s model to TorchScript and ONNX formats. No branches or pull requests. Security. Train. Run bash script: python data\download_weights. 7 KB. answered Nov 26, 2022 at 8:09. pt. I trained it almost 3 times, thinking that it is an issue with the notebook. yolov5s6. Loads and fuses an ensemble or single YOLOv5 model from weights, handling device placement and model adjustments. if you train at --img 1280 you should also test and detect at --img 1280. Line 266 in 63ddb6f. yaml and run the sh Best inference results are obtained at the same --img as the training was run at, i. cfg yolov3. There are some issues with your torch. py --weights yolov5s. 喻：挽力竭windows两续玄屯冷。. py ) on MacOS, Windows, and Ubuntu every 24 hours and on every commit. $ python export. yolov5-s which is a small version. We can get the class weights directly from authors' code. cache_labels. 要为模型加载随机初始化的权重（从头开始训练），请使用 pretrained=False. wk tf uy ul db mp aq pi hj dc