9f31fde984bac09cfcaf03639f7e86eb09e1f5d1,src/detection/rv/commands/predict_on_chips.py,,_predict_on_chips,#Any#Any#Any#Any#Any#,66

Before Change

                    vis_util.visualize_boxes_and_labels_on_image_array(
                        image_np,
                        np.squeeze(boxes),
                        np.squeeze(classes).astype(np.int32),
                        np.squeeze(scores),
                        category_index,
                        use_normalized_coordinates=True,

After Change

                norm_boxlist = compute_prediction(
                    image_np, detection_graph, sess)
                boxlist = scale(norm_boxlist, width, height)

                if predictions_debug_dir is not None:
                    vis_util.visualize_boxes_and_labels_on_image_array(
                        image_np,
                        boxlist.get(),
                        boxlist.get_field("classes"),
                        boxlist.get_field("scores"),
                        category_index,
                        use_normalized_coordinates=False,
                        line_thickness=line_thickness)

                    debug_image_path = \
                        join(predictions_debug_dir, basename(image_path))
                    imsave(debug_image_path, image_np)

                filename = basename(image_path)
                filtered_boxlist = filter_scores_greater_than(
                    boxlist, min_score_threshold)
                predictions[filename] = {
                    "boxes": filtered_boxlist.get().tolist(),
                    "scores": filtered_boxlist.get_field("scores").tolist(),
                    "classes": filtered_boxlist.get_field("classes").tolist()
                }

Instances