Closed jodevak closed 6 years ago
Hey! One way to measure success is to compare the features of 2 images by computing their euclidean distance. Ideally, if you have trained the model with gap parameter 'g' set to 1, the euclidean distance of <1 means similar image and >1 means dissimilar image. Hope this helps!
Thank you for this work, especially you blog post was very clear. I have a question, have you tired runng your code, if yes, can you provide a test cases, success measures or anything similar?