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Hide bounding boxes in custom object detection #677

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Hide bounding boxes in custom object detection #677

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68a3591
Allow hiding bounding box on detected objects
JustThinkInC Jun 14, 2021
eba2dfb
Fix arg name typo. Add display_box arg description
JustThinkInC Jun 14, 2021
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13 changes: 9 additions & 4 deletions imageai/Detection/Custom/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -667,7 +667,8 @@ def loadModel(self):

def detectObjectsFromImage(self, input_image="", output_image_path="", input_type="file", output_type="file",
extract_detected_objects=False, minimum_percentage_probability=50, nms_treshold=0.4,
display_percentage_probability=True, display_object_name=True, thread_safe=False):
display_percentage_probability=True, display_object_name=True, display_box=True,
thread_safe=False):

"""

Expand All @@ -681,6 +682,7 @@ def detectObjectsFromImage(self, input_image="", output_image_path="", input_typ
* nms_threshold (optional, o.45 by default) , option to set the Non-maximum suppression for the detection
* display_percentage_probability (optional, True by default), option to show or hide the percentage probability of each object in the saved/returned detected image
* display_display_object_name (optional, True by default), option to show or hide the name of each object in the saved/returned detected image
* display_box (optional, True by default), option to show or hide the bounding boxes of each object in the saved/returned detected image
* thread_safe (optional, False by default), enforce the loaded detection model works across all threads if set to true, made possible by forcing all Keras inference to run on the default graph


Expand Down Expand Up @@ -733,6 +735,7 @@ def detectObjectsFromImage(self, input_image="", output_image_path="", input_typ
:param nms_treshold:
:param display_percentage_probability:
:param display_object_name:
:param display_box:
:param thread_safe:
:return image_frame:
:return output_objects_array:
Expand Down Expand Up @@ -824,7 +827,8 @@ def detectObjectsFromImage(self, input_image="", output_image_path="", input_typ

drawn_image = self.__detection_utils.draw_boxes_and_caption(image_frame.copy(), all_boxes, all_labels,
all_scores, show_names=display_object_name,
show_percentage=display_percentage_probability)
show_percentage=display_percentage_probability,
show_boxes=display_box)

if extract_detected_objects:

Expand Down Expand Up @@ -1369,15 +1373,16 @@ def label_color(self, label):
else:
return 0, 255, 0

def draw_boxes_and_caption(self, image_frame, v_boxes, v_labels, v_scores, show_names=False, show_percentage=False):
def draw_boxes_and_caption(self, image_frame, v_boxes, v_labels, v_scores, show_names=False, show_percentage=False, show_boxes=False):

for i in range(len(v_boxes)):
box = v_boxes[i]
y1, x1, y2, x2 = box.ymin, box.xmin, box.ymax, box.xmax
width, height = x2 - x1, y2 - y1
class_color = self.label_color(self.__labels.index(v_labels[i]))

image_frame = cv2.rectangle(image_frame, (x1, y1), (x2, y2), class_color, 2)
if show_boxes:
image_frame = cv2.rectangle(image_frame, (x1, y1), (x2, y2), class_color, 2)

label = ""
if show_names and show_percentage:
Expand Down
3 changes: 2 additions & 1 deletion imageai/Detection/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -210,7 +210,8 @@ def detectObjectsFromImage(self, input_image="", output_image_path="", input_typ
* extract_detected_objects (optional) , option to save each object detected individually as an image and return an array of the objects' image path.
* minimum_percentage_probability (optional, 50 by default) , option to set the minimum percentage probability for nominating a detected object for output.
* display_percentage_probability (optional, True by default), option to show or hide the percentage probability of each object in the saved/returned detected image
* display_display_object_name (optional, True by default), option to show or hide the name of each object in the saved/returned detected image
* display_object_name (optional, True by default), option to show or hide the name of each object in the saved/returned detected image
* display_box (optional, True by default), option to show or hide the bounding boxes of each object in the saved/returned detected image
* thread_safe (optional, False by default), enforce the loaded detection model works across all threads if set to true, made possible by forcing all Tensorflow inference to run on the default graph.


Expand Down