首先修改object_detection\utils文件夹下的object_detection_evaluation.py文件,将其中的unicode替换为str再删除object_detection同目录下的object_detection.egg.info文件,并重新python setup.py install生成拓展文件。 之后运行以下命令: Copy python legacy/eval.py --logtostderr --pipeline_config_path=SSD_Detect_Pro...
├──eval/# Created by evaluation job.├── my_model.config# pipeline config└── model_ckpt-100-data@1#└── model_ckpt-100-index# Created by training job.└── checkpoint# 把label_map.pbtxt移动过去(以PASCAL VOC2012为例): cp /xxx/models/research/object_detection/data/pascal_label_...
WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x00000287BF7F0F28>) includes params ...
检测模型:目标检测模型中的 train 流程如下,其中 Preprocess 主要负责图片的预处理工作,Predict 主要负责 Box 的预测,Compute Loss 主要计算模型 Loss 值。 Evaluation 流程如下所示,Preprocess 和 Predict 同上。Post Process 主要把预测得到的 Box 进行处理(如进行最大值抑制)并转换为最后要输出的格式,如 Box 位置...
accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32), name='evaluation') x_batch, y_batch = get_Batch(train_x, train_y, 1000) # 训练 with tf.Session() as sess: #初始化参数 sess.run(tf.global_variables_initializer()) ...
站点：https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_training_and_evaluation.md 重新安排后，可以开始训练。同样，针对TF 1.0和TF 2.0模型的训练是不同的。通过“Monk对象检测”，我们添加了pythonic函数来更新配置文件，并且不再需要为工作空间使用严格的文件夹结构。两种...
) # make a GPU version of infer_model for evaluation if multi_gpu > 1: infer_model = load_model(config['train']['saved_weights_name']) ### # Run the evaluation ### # compute mAP for all the classes average_precisions = evaluate(infer_model, valid_...
一、tensorflow提供的evaluation Inference and evaluation on the Open Images dataset:https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/oid_inference_and_evaluation.md 该链接中详细介绍了如何针对Open Images dataset数据集进行inference和evaluation,按照此教程,在models/research目录下...
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md 按照步骤一步步来装,cocoapi也需要装好 二、准备数据集 参考下面链接 https://www.cnblogs.com/zongfa/p/9663649.html https://blog.csdn.net/qq_17854471/article/details/89786400 ...
package object_detection.protos; // Configuration proto for GridAnchorGenerator. See // anchor_generators/grid_anchor_generator.py for details. message GridAnchorGenerator { // Anchor height in pixels. optional int32 height = 1 [default = 256]; ...