00:49:36 Daniil Koshelyuk: Zoe, I was doing Thesis on something related. Just remembered a paper, that I think might be useful for you - they made a device to capture temperature in space and map it http://papers.cumincad.org/data/works/att/acadia19_338.pdf 00:50:12 Zoe: Daniil that's great! Thanks a lot!! 01:03:36 Daniil Koshelyuk: but it depends on lighting 01:08:55 Daniil Koshelyuk: How to detect everything but the phone 01:09:03 benjaminscott: Then just invert the image 01:10:09 Daniil Koshelyuk: (a joke) 01:27:15 Pablo Zuloaga: https://www.pyimagesearch.com/2019/04/17/an-interview-with-jeff-bass-creator-of-imagezmq/ 01:28:16 Pablo Zuloaga: This guy has implemented computer vision in his farm to automate it, in case you want to check him 01:34:09 antoine: thanks pablo, very nice! 01:35:19 Daniil Koshelyuk: Can't you just drop frames for analysis and interpolate between them? 01:42:08 Daniil Koshelyuk: https://www.youtube.com/watch?v=uEJ71VlUmMQ - awesome video on this method 01:43:45 Daniil Koshelyuk: haha yes same video 01:49:29 Daniil Koshelyuk: I love how its detecting face in the letters omn the Background as well 01:51:40 Daniil Koshelyuk: How do you define these classifiers by the way - just running through set of classified images and remembering which tests worked there? 01:58:02 Daniil Koshelyuk: wow 40000 lines of code for the cascade for all the areas of the frame in realtime 02:00:41 Daniil Koshelyuk: and the other is sweat 02:01:10 Daniil Koshelyuk: (sorry another joke) 02:10:36 Daniil Koshelyuk: From what I understand you can use trained Deep Learning network to test the classifiers to extract them for the ML 02:11:30 benjaminscott: 👍🏼 02:17:47 Andrea Bertran: Imagenet can be another one 02:23:13 Daniil Koshelyuk: damn 02:25:00 Daniil Koshelyuk: hah that's random 02:26:03 Daniil Koshelyuk: But does it take that long to read all the data or actual algorithm? 02:29:18 Daniil Koshelyuk: I think in the beginning it saw something else 02:31:44 Pablo Zuloaga: (OpenCV-master-py3) (base) pablos-mbp:04_computer_vision pablo$ python 09_yolo.py -i images/cars.jog -y extras [INFO] loading YOLO from disk... Traceback (most recent call last): File "09_yolo.py", line 38, in net = cv2.dnn.readNetFromDarknet(configPath, weightsPath) cv2.error: OpenCV(4.3.0-dev) /Users/pablo/opencv/modules/dnn/src/darknet/darknet_importer.cpp:214: error: (-212:Parsing error) Failed to parse NetParameter file: extras/yolov3.weights in function 'readNetFromDarknet' 02:31:50 Pablo Zuloaga: I got this error... 02:34:34 Daniil Koshelyuk: https://stackoverflow.com/questions/49925933/opencv-unknown-layer-type-running-darknet-detect may be this will help - seems it is a version issue 02:35:04 Pablo Zuloaga: Thanks Daniil 02:43:54 antoine: computer vision with openframeworks https://openframeworks.cc/ofBook/chapters/image_processing_computer_vision.html 02:45:50 FABACADEMY_BCN ZOOM: https://hackaday.com/2020/03/23/esp32-s2-samples-show-up/?utm_source=Hackaday.com&utm_campaign=2c13fc3011-EMAIL_CAMPAIGN_2020_02_26_04_27_COPY_01&utm_medium=email&utm_term=0_a428253bfe-2c13fc3011-160857883&mc_cid=2c13fc3011&mc_eid=8a82796565 02:46:51 FABACADEMY_BCN ZOOM: https://es.wikipedia.org/wiki/Intel_Galileo