Iam a beginner and I am learning to code an image classifier. My goal is to create a predict function.
in this project I want to make a car prediction model, I have a problem when I will load_image from the keras.preprocessing function there is an error JpegImageFile' object has no attribute 'load_img'
this is my code
from google.colab.patches import cv2_imshow
import cv2
import glob
from keras.preprocessing import image
import numpy as np
ambil = glob.glob("*.jpg")
for foto in ambil:
lol = cv2.imread(foto)
with open(foto, 'rb') as f:
np_image_string = np.array([f.read()])
image = Image.open(foto)
width, height = image.size
gambar_masuk = np.array(image.getdata()).reshape(height, width, 3).astype(np.uint8)
num_detections, detection_boxes, detection_classes, detection_scores, detection_masks, image_info = session.run(
['NumDetections:0', 'DetectionBoxes:0', 'DetectionClasses:0', 'DetectionScores:0', 'DetectionMasks:0', 'ImageInfo:0'],
feed_dict={'Placeholder:0': np_image_string})
num_detections = np.squeeze(num_detections.astype(np.int32), axis=(0,))
detection_boxes = np.squeeze(detection_boxes * image_info[0, 2], axis=(0,))[0:num_detections]
detection_scores = np.squeeze(detection_scores, axis=(0,))[0:num_detections]
detection_classes = np.squeeze(detection_classes.astype(np.int32), axis=(0,))[0:num_detections]
detection_boxes = detection_boxes[detection_classes==3]
detection_scores = detection_scores[detection_classes==3]
detection_boxes = detection_boxes[detection_scores>0.8]
detection_boxes = detection_boxes.astype(int)
print(detection_boxes)
urut=1
for kotak in detection_boxes:
hasil = lol[kotak[0]:kotak[2],kotak[1]:kotak[3],:]
hasil_potong = 'hasil'+str(urut)+'.jpg'
cv2.imwrite(hasil_potong, hasil)
lihat = cv2.imread(hasil_potong)
cv2_imshow(lihat)
img = image.load_img(lihat, target_size = (size_, size_))
You are overwriting image
. You have these two lines:
from keras.preprocessing import image
:
:
image = Image.open(foto)
You import image
from keras.processing
, but then you overwrite it in the second shown line.
Either import image
a different way, or use a different variable name for the opened image...