removed exmple apps code

[ealt-edge.git] / example-apps / PDD / pcb-defect-detection / libs / box_utils / show_box_in_tensor.py

diff --git a/example-apps/PDD/pcb-defect-detection/libs/box_utils/show_box_in_tensor.py b/example-apps/PDD/pcb-defect-detection/libs/box_utils/show_box_in_tensor.py
deleted file mode 100755 (executable)
index 37afda0..0000000
--- a/example-apps/PDD/pcb-defect-detection/libs/box_utils/show_box_in_tensor.py
+++ /dev/null
@@ -1,70 +0,0 @@
-# -*- 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)
-