multi-line-plate-recognition
multi-line-plate-recognition copied to clipboard
prediction
用作者的模型推理pp_train.npy,输出为空。去推理单张自己的图片也为空,推理单张图片如下。请问作者有测试过准确率吗? img = cv2.imread('~/plate_data/color/PLT_YELLOW/PLT_YELLOW_苏AB2970.jpg') img_pred = img.astype(np.float32) img_pred = cv2.resize(img_pred, (96, 64)) img_pred = np.expand_dims(img_pred, axis=0) img_pred = img_pred.transpose(0,2,1,3)
y_pred = base_model.predict(img_pred,batch_size=1)
shape = y_pred[:, :, :].shape
print(shape)
out = K.get_value(K.ctc_decode(y_pred[:,:,:],input_length=np.ones(shape[0])*shape[1])[0][0])[:,:7]
print(out[0])