打开object_detection\g3doc\tf2_classification_zoo.md,里面是用相应数据集训练好的模型(有附下载链接),可直接在上面做迁移训练。 如果已经下载或有训练好的模型,直接使用model=tf.saved_model.load加载即可(这个函数在tf1中就比较麻烦了) ②模型的输入输出(可略过) #detection_model.signatures['serving_default']...
This notebook will walk you step by step through the process of using a pre-trained model to detect objects in an image. Make sure to follow the [installation instructions](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md) before you start.fromdi...
TensorFlow Object Detection API 是一个构建在 TensorFlow 之上的开源框架,可以轻松构建、训练和部署对象检测模型。另外,TensorFlow Object Detection API 还提供了 Model Zoo 方便我们选择和切换预训练模型。 安装依赖项 conda protoc 使用以下命令检查是否安装成功。 $ conda --version conda 4.9.2 $ protoc --versio...
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md 这里的模型是基于COCO dataset, Kitti dataset, Oepn Images dataset训练好的模型,这些模型都可以用 out-of-the-box inference, 如果需要预测的类别都存在于COCO或者是open images当中。利用这些模型作为初始化...
需要创建一个训练配置文件。作为基础模型,将使用 EfficientDet——。Tensorflow OD API 提供了许多不同的模型。有关更多信息,请查看Tensorflow 2 Detection Model Zoo训练配置文件的模板在 models/research/object_detection/configs/tf2 1. 在这里使用 ssd_efficientdet_d0_512x512_coco17_tpu-8.config ...
特别注意:此处下载的模型为detection模型,pipline.config中的fine_tune_checkpoint_type:配置为"detection"才有效,否则会报错 • TF2 Detection zoo:传送门 • TF2 Classification Zoo:传送门 6.2 解压缩预训练模型 使用tar命令tar zxvf ssd_mobilenet_v2_fpnlite_640x640_coco17_tpu-8.tar.gz解压预训练模型 ro...
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#coco-trained-models 还将利用Google Colab进行计算,这是一种提供免费GPU的资源。将利用Google Colab免费提供GPU计算(长达12小时)。 Colab笔记本在这里。基于GitHub的仓库在这里。
（想要了解更多跟模型有关的知识https://github.com/tensorflow/models/blob/477ed41e7e4e8a8443bc633846eb01e2182dc68a/object_detection/g3doc/detection_model_zoo.md）实测时间 我决定使用最轻量级的模型（ssd_mobilenet）。主要步骤如下：1. 下载一个打包模型(.pb-protobuf)并把它载入缓存 2. 使用内置的辅助...
TensorFlow provides several object detection models (pre-trained classifiers with specific neural network architectures) in itsmodel zoo. Some models (such as the SSD-MobileNet model) have an architecture that allows for faster detection but with less accuracy, while some models (such as the ...
The existing pretrained object detection models are inadequate to detect IndyCar race cars. Therefore, we have created a new dataset and have compared three different Single Shot Multibox Detector models from TensorFlow Detection Model Zoo. We run experiments on CPU and GPU. Since transferring the ...