Last active
October 10, 2021 15:49
-
-
Save Ar-Ray-code/b07012e047883fbe7dd50dfe55c7f531 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# src : https://gist.github.com/YashasSamaga/e2b19a6807a13046e399f4bc3cca3a49#file-yolov4-py | |
import cv2 | |
import time | |
CONFIDENCE_THRESHOLD = 0.3 | |
NMS_THRESHOLD = 0.4 | |
COLORS = [(0, 255, 255), (255, 255, 0), (0, 255, 0), (255, 0, 0)] | |
class_names = [] | |
with open("../darknet_cfg/coco.names", "r") as f: | |
class_names = [cname.strip() for cname in f.readlines()] | |
vc = cv2.VideoCapture(0) | |
net = cv2.dnn.readNet("../darknet_cfg/yolov4-tiny.weights", "../darknet_cfg/yolov4-tiny.cfg") | |
# CPU | |
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_DEFAULT) | |
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU) | |
# NCS2 | |
# net.setPreferableBackend(cv2.dnn.DNN_BACKEND_DEFAULT) | |
# net.setPreferableTarget(cv2.dnn.DNN_TARGET_MYRIAD) | |
model = cv2.dnn_DetectionModel(net) | |
model.setInputParams(size=(416, 416), scale=1/255, swapRB=True) | |
while cv2.waitKey(1) < 1: | |
(grabbed, frame) = vc.read() | |
if not grabbed: | |
exit() | |
start = time.time() | |
classes, scores, boxes = model.detect(frame, CONFIDENCE_THRESHOLD, NMS_THRESHOLD) | |
end = time.time() | |
start_drawing = time.time() | |
for (classid, score, box) in zip(classes, scores, boxes): | |
color = COLORS[int(classid) % len(COLORS)] | |
label = "%s : %f" % (class_names[classid[0]], score) | |
cv2.rectangle(frame, box, color, 2) | |
cv2.putText(frame, label, (box[0], box[1] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 2) | |
end_drawing = time.time() | |
fps_label = "FPS: %.2f (excluding drawing time of %.2fms)" % (1 / (end - start), (end_drawing - start_drawing) * 1000) | |
cv2.putText(frame, fps_label, (0, 25), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 2) | |
cv2.imshow("detections", frame) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment