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I personally wouldn’t put the Emotion one first on the GitHub README, that was the only one I opened, before clicking the license plate one and a) see it was a
by dmix 4y ago
I personally wouldn’t put the Emotion one first on the GitHub README, that was the only one I opened, before clicking the license plate one and a) see it was a whole other GitHub demo and b) opened two files to see both doing parsing/loading models without any SQL before getting bored and closing the project.
Maybe I’m not the target market but seeing the 2nd and 3rd example in your list here, which actually has SQL query examples, were much more interesting and relevant IMO
- jarulraj 4y agoThanks for the helpful suggestion! Just reordered the examples in the README. Here are the illustrative queries: -- Object detection in a surveillance video SELECT id, YoloV5(data) FROM ObjectDetectionVideos WHERE id < 20 -- Emotion analysis in movies SELECT id, bbox, EmotionDetector(Crop(data, bbox)) FROM HAPPY JOIN LATERAL UNNEST(FaceDetector(data)) AS Face(bbox, conf) WHERE id < 15;