Use Case and High-Level Description

Faster R-CNN with Inception v2. Used for object detection. For details, see the paper.

Specification

Accuracy

Input

Original Model

Image, name: image_tensor, shape: [1x600x1024x3], format: [BxHxWxC], where:

• B - batch size
• H - image height
• W - image width
• C - number of channels

Expected color order: RGB.

Converted Model

1. Image, name: image_tensor, shape: [1x3x600x1024], format: [BxCxHxW], where:
   • B - batch size
   • C - number of channels
   • H - image height
   • W - image width

Expected color order: BGR.

1. Information of input image size, name: image_info, shape: [1x3], format: [BxC], where:
   • B - batch size
   • C - vector of 3 values in format [H,W,S], where H - image height, W - image width, S - image scale factor (usually 1)

Output

Original Model

1. Classifier, name: detection_classes. Contains predicted bounding boxes classes in a range [1, 91]. The model was trained on Microsoft* COCO dataset version with 90 categories of objects.
2. Probability, name: detection_scores. Contains probability of detected bounding boxes.
3. Detection box, name: detection_boxes. Contains detection boxes coordinates in format [y_min, x_min, y_max, x_max], where (x_min, y_min) are coordinates of the top left corner, (x_max, y_max) are coordinates of the right bottom corner. Coordinates are rescaled to input image size.
4. Detections number, name: num_detections. Contains the number of predicted detection boxes.

Converted Model

The array of summary detection information, name: reshape_do_2d, shape: [1, 1, N, 7], where N is the number of detected bounding boxes. For each detection, the description has the format: [image_id, label, conf, x_min, y_min, x_max, y_max], where:

• image_id - ID of the image in the batch
• label - predicted class ID
• conf - confidence for the predicted class
• (x_min, y_min) - coordinates of the top left bounding box corner (coordinates stored in normalized format, in range [0, 1])
• (x_max, y_max) - coordinates of the bottom right bounding box corner (coordinates stored in normalized format, in range [0, 1])

Legal Information

The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in APACHE-2.0-TensorFlow.txt.