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Hi everyone in this forum,I have been developing image recognition app in ios 11 following the CoreML examples. However i notice that there is difference of the results when calling the model in ios, and the ones using coremltools in mac/python. I think the difference may lie on the image loading part. Python code use Pillow to load image, but xcode use CoreImage. I pasted the key codes as below. Hopefully somebody can help to point out the issue.Also the input image is a 299*299 jpg. So should not any resizing happened in either of the implementation. Thank you.################## python codes ##################import coremltools from PIL import Image from keras.preprocessing import image import numpy as np IMG_PATH='./test.jpg' img = image.load_img(IMG_PATH) model=coremltools.models.MLModel("./Inceptionv3.mlmodel") res = model.predict({'image':img})################ ios codes . ################ self.image = [CIImage imageWithContentsOfURL:fileURL]; self.model = [[[Inceptionv3 alloc] init] model]; VNCoreMLModel *m = [VNCoreMLModel modelForMLModel: self.model error:nil]; VNCoreMLRequest *rq = [[VNCoreMLRequest alloc] initWithModel: m completionHandler: (VNRequestCompletionHandler) ^(VNRequest *request, NSError *error){ NSArray *results = [request.results copy]; NSString *top_results = @""; for(int index = 0; index < kNumResults; index++) { VNClassificationObservation *res = ((VNClassificationObservation *)(results[index])); NSString *tmp = [top_results stringByAppendingFormat: @"- %d %.4f %@\n ", index, res.confidence,res.identifier]; top_results = [tmp copy]; } self.label_prob = [top_results copy]; }]; NSDictionary *d = [[NSDictionary alloc] init]; NSArray *a = @[rq]; VNImageRequestHandler *handler = [[VNImageRequestHandler alloc] initWithCIImage:self.image options:d]; dispatch_queue_t myCustomQueue; myCustomQueue = dispatch_queue_create("com.example.MyCustomQueue", NULL); dispatch_sync(myCustomQueue, ^{ [handler performRequests:a error:nil]; });