error: OpenCV(4.6.0) D:\a\opencv-python\opencv-python\opencv\modules\dnn\src\darknet\darknet_importer.cpp:210: error: (-212:Parsing error) Failed to open NetParameter file: C:\Usererka\OneDrive\Masaustu\Yolo egitimleri\cfg-weights/yolov3.cfg in function ‘cv::dnn::dnn4_v20220524::readNetFromDarknet’ → Bu hata neden gelir. İnternette o kadar araştırma yapmama rağmen adam akıllı bir çözüm bulamadım.
kodum bu şekilde
import cv2
import numpy as np
img=cv2.imread(“sohbet.jpeg”)
img_width=img.shape[1]
img_height=img.shape[0]
img_blob=cv2.dnn.blobFromImage(img,1/255,(416,416),swapRB=True,crop=False)
labels=[“person”,“bicycle”,“car”,“motorcycle”,“airplane”,“bus”,“train”,“truck”,“boat”,
“trafficlight”,“firehydrant”,“stopsign”,“parkingmeter”,“bench”,“bird”,“cat”,
“dog”,“horse”,“sheep”,“cow”,“elephant”,“bear”,“zebra”,“giraffe”,“backpack”,
“umbrella”,“handbag”,“tie”,“suitcase”,“frisbee”,“skis”,“snowboard”,“sportsball”,
“kite”,“baseballbat”,“baseballglove”,“skateboard”,“surfboard”,“tennisracket”,
“bottle”,“wineglass”,“cup”,“fork”,“knife”,“spoon”,“bowl”,“banana”,“apple”,
“sandwich”,“orange”,“broccoli”,“carrot”,“hotdog”,“pizza”,“donut”,“cake”,“chair”,
“sofa”,“pottedplant”,“bed”,“diningtable”,“toilet”,“tvmonitor”,“laptop”,“mouse”,
“remote”,“keyboard”,“cellphone”,“microwave”,“oven”,“toaster”,“sink”,“refrigerator”,
“book”,“clock”,“vase”,“scissors”,“teddybear”,“hairdrier”,“toothbrush”]
colors=[“0,255,255”,“0,0,255”,“255,0,0”,“255,255,0”,“0,255,0”]
colors=[np.array(color.split(",")).astype(“int”) for color in colors]
colors=np.array(colors)
colors=np.tile(colors,(18,1))
model_cfg=“C:\Users\berka\OneDrive\Masaustu\Yolo egitimleri\cfg-weights/yolov3.cfg”
model_weights=“C:\Users\berka\OneDrive\Masaustu\Yolo egitimleri\cfg-weights/yolov3.weights”
#%%
model=cv2.dnn.readNetFromDarknet(model_cfg,model_weights)
layers=model.getLayerNames()
layers=list(layers)
output_layer=[layers[layer-1] for layer in model.getUnconnectedOutLayers()]
model.setInput(img_blob)
detection_layers=list(model.forward(output_layer))
for detection_layer in detection_layers:
for object_detection in detection_layer:
scores=object_detection[5:]
predicted_id=np.argmax(scores)
confidence=scores[predicted_id]
if confidence>0.30:
label=labels[predicted_id]
bounding_box=object_detection[0:4]*np.array([img_width,img_height,img_width,img_height])
(box_center_x,box_center_y,box_width,box_height)=bounding_box.astype("int")
start_x=int(box_center_x-(box_width/2))
start_y=int(box_center_y-(box_height/2))
end_x=start_x+box_width
end_y=start_y+box_height
box_color=colors[predicted_id]
box_color=[int(each) for each in box_color]
label="{}:{:.2f}%".format(label,confidence*100)
print("predicted object")
cv2.rectangle(img,(start_x,start_y),(end_x,end_y),box_color,1)
cv2.putText(img,label,(start_x,start_y-10),cv2.FONT_HERSHEY_SIMPLEX,0.5,box_color,1)
cv2.imshow(“Detection Window”,img)
Arkadaşlar sorunu buldum.
model_cfg=“C:\Users\berka\OneDrive\Masaustu\Yolo egitimleri\cfg-weights/yolov3.cfg”
model_weights=“C:\Users\berka\OneDrive\Masaustu\Yolo egitimleri\cfg-weights/yolov3.weights”
bu ikisini uzun şekilde değil de kısa olarak vermem gerekiyormuş. yani:
model_cfg=yolov3.cfg
model_weights=yolov3.weigts
şeklinde olacakmış.