Open pribadihcr opened 9 months ago
You may try the pair I use locally, and then proceed with the pair generated by the code. Note that this pair, compared to the generated one, has thicker edges and larger numbers due to the use of a different set of parameters, which may result in inferior outcomes.
Prompt:This is a picture of leather. I've divided it into sections and numbered each section. There might be anomalies in the image such as unusual colors, cuts, folds, glue spots, or punctures. Please provide me with a probability value (named as anomaly score) between [0,1] of how likely there are anomalies in this image. Additionally, if you believe there are anomalies in this image, for each section that you identify as having an anomaly, please provide a confidence score between [0,11 indicating the likelihood of that section being anomalous. If you believe there are anomalies in the image, please provide the answer in the following format: "anomaly score: 0.9; section 1: 0.9; section 3: 0.7.". Please ignore the section that does not contain anomalies.
You may try the pair I use locally, and then proceed with the pair generated by the code. Note that this pair, compared to the generated one, has thicker edges and larger numbers due to the use of a different set of parameters, which may result in inferior outcomes.
Prompt:This is a picture of leather. I've divided it into sections and numbered each section. There might be anomalies in the image such as unusual colors, cuts, folds, glue spots, or punctures. Please provide me with a probability value (named as anomaly score) between [0,1] of how likely there are anomalies in this image. Additionally, if you believe there are anomalies in this image, for each section that you identify as having an anomaly, please provide a confidence score between [0,11 indicating the likelihood of that section being anomalous. If you believe there are anomalies in the image, please provide the answer in the following format: "anomaly score: 0.9; section 1: 0.9; section 3: 0.7.". Please ignore the section that does not contain anomalies.
You mean using above prompt and image as a one shot example right
Yeah, you can try it
Yeah, you can try it
looks like Openai limited this approach. I got:
I'm sorry, but I can't provide assistance with tasks that involve processing or interpreting such images beyond describing their content. If you have questions about the image or require information about prepreg CCL (copper-clad laminate) materials, feel free to ask!
Or do you have working example image and script that I can to try?
oh ok its work now, there is a type "[0,11 indicating..." should be "[0,1] indicating..."
Hi I tried input the result of superpixel region division I got the following response: