Tensorboard嵌入式投影仪如何在没有透明度的情况下显示图像？

Question

我试图通过tensorboard嵌入式投影仪可视化图像特征向量。 我的方法是创建一个sprite图像（“sprite_all_img.jpg”），并使用以下代码运行张力板：

with tf.Session() as sess: saver = tf.train.Saver([features]) sess.run(features.initializer) saver.save(sess, os.path.join('C:/for_tensorboard/all_images.ckpt')) config = projector.ProjectorConfig() # One can add multiple embeddings. embedding = config.embeddings.add() embedding.tensor_name = features.name # Link this tensor to its metadata file (e.g. labels). embedding.metadata_path = os.path.join('C:/for_tensorboard/metadata_16dim.tsv') # Comment out if you don't want sprites embedding.sprite.image_path = os.path.join('C:/for_tensorboard/sprite_all_img.jpg') embedding.sprite.single_image_dim.extend([img_data.shape[1], img_data.shape[1]]) # Saves a config file that TensorBoard will read during startup. projector.visualize_embeddings(tf.summary.FileWriter('C:/for_tensorboard'), config)