--- /dev/null
+# -*- coding: utf-8 -*-
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import tensorflow as tf
+import numpy as np
+import cv2
+from libs.label_name_dict.label_dict import LABEl_NAME_MAP
+
+from libs.configs import cfgs
+
+from libs.box_utils import draw_box_in_img
+
+def only_draw_boxes(img_batch, boxes):
+
+ boxes = tf.stop_gradient(boxes)
+ img_tensor = tf.squeeze(img_batch, 0)
+ img_tensor = tf.cast(img_tensor, tf.float32)
+ labels = tf.ones(shape=(tf.shape(boxes)[0], ), dtype=tf.int32) * draw_box_in_img.ONLY_DRAW_BOXES
+ scores = tf.zeros_like(labels, dtype=tf.float32)
+ img_tensor_with_boxes = tf.py_func(draw_box_in_img.draw_boxes_with_label_and_scores,
+ inp=[img_tensor, boxes, labels, scores],
+ Tout=tf.uint8)
+ img_tensor_with_boxes = tf.reshape(img_tensor_with_boxes, tf.shape(img_batch)) # [batch_size, h, w, c]
+
+ return img_tensor_with_boxes
+
+def draw_boxes_with_scores(img_batch, boxes, scores):
+
+ boxes = tf.stop_gradient(boxes)
+ scores = tf.stop_gradient(scores)
+
+ img_tensor = tf.squeeze(img_batch, 0)
+ img_tensor = tf.cast(img_tensor, tf.float32)
+ labels = tf.ones(shape=(tf.shape(boxes)[0],), dtype=tf.int32) * draw_box_in_img.ONLY_DRAW_BOXES_WITH_SCORES
+ img_tensor_with_boxes = tf.py_func(draw_box_in_img.draw_boxes_with_label_and_scores,
+ inp=[img_tensor, boxes, labels, scores],
+ Tout=[tf.uint8])
+ img_tensor_with_boxes = tf.reshape(img_tensor_with_boxes, tf.shape(img_batch))
+ return img_tensor_with_boxes
+
+def draw_boxes_with_categories(img_batch, boxes, labels):
+ boxes = tf.stop_gradient(boxes)
+
+ img_tensor = tf.squeeze(img_batch, 0)
+ img_tensor = tf.cast(img_tensor, tf.float32)
+ scores = tf.ones(shape=(tf.shape(boxes)[0],), dtype=tf.float32)
+ img_tensor_with_boxes = tf.py_func(draw_box_in_img.draw_boxes_with_label_and_scores,
+ inp=[img_tensor, boxes, labels, scores],
+ Tout=[tf.uint8])
+ img_tensor_with_boxes = tf.reshape(img_tensor_with_boxes, tf.shape(img_batch))
+ return img_tensor_with_boxes
+
+def draw_boxes_with_categories_and_scores(img_batch, boxes, labels, scores):
+ boxes = tf.stop_gradient(boxes)
+ scores = tf.stop_gradient(scores)
+
+ img_tensor = tf.squeeze(img_batch, 0)
+ img_tensor = tf.cast(img_tensor, tf.float32)
+ img_tensor_with_boxes = tf.py_func(draw_box_in_img.draw_boxes_with_label_and_scores,
+ inp=[img_tensor, boxes, labels, scores],
+ Tout=[tf.uint8])
+ img_tensor_with_boxes = tf.reshape(img_tensor_with_boxes, tf.shape(img_batch))
+ return img_tensor_with_boxes
+
+if __name__ == "__main__":
+ print (1)
+