For this code please add these features making it be able to : #generate a blank image with black background, picture size is the same as frame #allow it to calculate center point #Draw white circles into the image generated at line 6, diameter is 6
For this code please add these features making it be able to : #generate a blank image with black background, picture size is the same as frame #allow it to calculate center point #Draw white circles into the image generated at line 6, diameter is 6
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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For this code please add these features making it be able to :
#generate a blank image with black background, picture size is the same as frame
#allow it to calculate center point
#Draw white circles into the image generated at line 6, diameter is 6
![detect3.py - C:\Users\htate2\yolov5\detect3.py (3.9.5)
File Edit Format Run Options Window Help
1 import torch
2 import cv2 as CV
3 import numpy as np
4
5 model = torch.hub.load('ultralytics/yolov5', 'yolov516', pretrained=True)
7 frame = cv.imread('pic25.png')
8 #generate a blank image with black background, picture size is the same as frame
9 #numpy zeros
10 detections = model (frame [..., ::-1])
11 results = detections.pandas ().xyxy [0].to_dict (orient="records")
12 for result in results:
13
con result ['confidence']
14
label
result ['name']
15
x1 = int (result['xmin'])
16
yl = int (result['ymin'])
int (result ['xmax'])
17
x2
18
y2 = int (result ['ymax'])
19
#calculate center of each car
20
#Draw white circles into the image generated at line 6, diameter is 6
img = np.zeros([100, 100,3],dtype=np.uint8)
21
22
img.fill (255) # or img [:] = 255
23
color= (0, 0, 255)
24
print (con, label, xl, yl, x2, y2)
org (x1, yl)
25
26
#font = cv. FONT HERSHEY SIMPLEX
font = cv. FONT HERSHEY PLAIN
27
28
fontScale = 1
29
thickness = 1
30
con1= str (round (con, 2))
31
obj Name = label + str (con1)
32
frame = cv.putText (frame, objName, org, font,
33
fontScale, color, thickness, cv.LINE_AA)
34
cv. rectangle (frame, (x1, yl), (x2, y2), color, thickness)
35
36
frame)
cv.imwrite('result.png',
37 #save image generated
38](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe4144d2e-3562-4105-8a14-6679c4147201%2Ff2adeaf2-81a5-4e90-b020-11b3684d0f27%2Fh8yf7qm_processed.png&w=3840&q=75)
Transcribed Image Text:detect3.py - C:\Users\htate2\yolov5\detect3.py (3.9.5)
File Edit Format Run Options Window Help
1 import torch
2 import cv2 as CV
3 import numpy as np
4
5 model = torch.hub.load('ultralytics/yolov5', 'yolov516', pretrained=True)
7 frame = cv.imread('pic25.png')
8 #generate a blank image with black background, picture size is the same as frame
9 #numpy zeros
10 detections = model (frame [..., ::-1])
11 results = detections.pandas ().xyxy [0].to_dict (orient="records")
12 for result in results:
13
con result ['confidence']
14
label
result ['name']
15
x1 = int (result['xmin'])
16
yl = int (result['ymin'])
int (result ['xmax'])
17
x2
18
y2 = int (result ['ymax'])
19
#calculate center of each car
20
#Draw white circles into the image generated at line 6, diameter is 6
img = np.zeros([100, 100,3],dtype=np.uint8)
21
22
img.fill (255) # or img [:] = 255
23
color= (0, 0, 255)
24
print (con, label, xl, yl, x2, y2)
org (x1, yl)
25
26
#font = cv. FONT HERSHEY SIMPLEX
font = cv. FONT HERSHEY PLAIN
27
28
fontScale = 1
29
thickness = 1
30
con1= str (round (con, 2))
31
obj Name = label + str (con1)
32
frame = cv.putText (frame, objName, org, font,
33
fontScale, color, thickness, cv.LINE_AA)
34
cv. rectangle (frame, (x1, yl), (x2, y2), color, thickness)
35
36
frame)
cv.imwrite('result.png',
37 #save image generated
38
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