here is the error i got it .
Traceback (most recent call last):
File "C:\Users\刘\Desktop\yolov3-coco-tower\yolo_custom_detection\yolo_object_detection.py", line 68, in
label = str(classes[class_ids[i]])
IndexError: list index out of range
Process finished with exit code 1
Here is the code.
import cv2
import numpy as np
import glob
import random
Load Yolo
net = cv2.dnn.readNet("custom-yolov4-detector_best.weights", "yolov4.cfg")
Name custom object
classes = ["tower"]
Images path
images_path = glob.glob(r"mix*.jpg")
layer_names = net.getLayerNames()
output_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()]
colors = np.random.uniform(0, 255, size=(len(classes), 3))
Insert here the path of your images
random.shuffle(images_path)
loop through all the images
for img_path in images_path:
Loading image
img = cv2.imread(img_path)
img = cv2.resize(img, None, fx=0.4, fy=0.4)
height, width, channels = img.shape
# Detecting objects
blob = cv2.dnn.blobFromImage(img, 0.00392, (416, 416), (0, 0, 0), True, crop=False)
net.setInput(blob)
outs = net.forward(output_layers)
# Showing informations on the screen
class_ids = []
confidences = []
boxes = []
for out in outs:
for detection in out:
scores = detection[5:]
class_id = np.argmax(scores)
confidence = scores[class_id]
if confidence > 0.3:
# Object detected
print(class_id)
center_x = int(detection[0] * width)
center_y = int(detection[1] * height)
w = int(detection[2] * width)
h = int(detection[3] * height)
# Rectangle coordinates
x = int(center_x - w / 2)
y = int(center_y - h / 2)
boxes.append([x, y, w, h])
confidences.append(float(confidence))
class_ids.append(class_id)
indexes = cv2.dnn.NMSBoxes(boxes, confidences, 0.5, 0.4)
print(indexes)
font = cv2.FONT_HERSHEY_PLAIN
for i in range(len(boxes)):
if i in indexes:
x, y, w, h = boxes[i]
label = str(classes[class_ids[i]])
color = colors[class_ids[i]]
cv2.rectangle(img, (x, y), (x + w, y + h), color, 2)
cv2.putText(img, label, (x, y + 30), font, 3, color, 2)
cv2.imshow("Image", img)
key = cv2.waitKey(0)
here is the error i got it . Traceback (most recent call last): File "C:\Users\刘\Desktop\yolov3-coco-tower\yolo_custom_detection\yolo_object_detection.py", line 68, in
label = str(classes[class_ids[i]])
IndexError: list index out of range
Process finished with exit code 1
Here is the code.
import numpy as np import glob import random
Load Yolo
net = cv2.dnn.readNet("custom-yolov4-detector_best.weights", "yolov4.cfg")
Name custom object
classes = ["tower"]
Images path
images_path = glob.glob(r"mix*.jpg")
layer_names = net.getLayerNames() output_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()] colors = np.random.uniform(0, 255, size=(len(classes), 3))
Insert here the path of your images
random.shuffle(images_path)
loop through all the images
for img_path in images_path:
Loading image
cv2.destroyAllWindows()