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| 2019-12-18 10:22:26 -0600 | received badge | ● Editor (source) |
| 2019-12-18 10:22:26 -0600 | edited question | Handwritten digit recognition from table Handwritten digit recognition from table Hi. The big picture of my project is that I have a paper with multiple tables |
| 2019-12-12 12:14:48 -0600 | received badge | ● Enthusiast |
| 2019-12-07 11:15:39 -0600 | commented answer | Handwritten digit recognition from table @supra not really, I managed to do that part. All I need is to properly handle the digit inside the 2 boxes above the ri |
| 2019-12-07 10:56:07 -0600 | commented answer | Handwritten digit recognition from table @supra56 Nope, so the goal is to score that test example. To do that I need to get the 2 tables in the image: bottom lef |
| 2019-12-07 10:50:18 -0600 | commented answer | Handwritten digit recognition from table Nope, so the goal is to score that test example. To do that I need to get the 2 tables in the image: bottom left and bot |
| 2019-12-07 10:28:42 -0600 | commented answer | Handwritten digit recognition from table @supra56 Thanks for the answer. The problem is not finding the boxes with the numbers or where the number is. The proble |
| 2019-12-07 09:23:37 -0600 | commented answer | Handwritten digit recognition from table Code: gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] edges = |
| 2019-12-07 09:23:17 -0600 | commented answer | Handwritten digit recognition from table gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] edges |
| 2019-12-07 09:21:43 -0600 | commented answer | Handwritten digit recognition from table @berak The solution is interesting but it will work only for some of the cases because the ones I need to test my solut |
| 2019-12-07 09:21:36 -0600 | commented answer | Handwritten digit recognition from table gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] |
| 2019-12-07 09:21:23 -0600 | commented answer | Handwritten digit recognition from table gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] |
| 2019-12-07 09:21:17 -0600 | commented answer | Handwritten digit recognition from table gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] |
| 2019-12-07 09:20:47 -0600 | commented answer | Handwritten digit recognition from table gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] |
| 2019-12-07 09:20:29 -0600 | commented answer | Handwritten digit recognition from table gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] edges |
| 2019-12-07 09:20:08 -0600 | commented answer | Handwritten digit recognition from table gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] |
| 2019-12-07 09:19:50 -0600 | commented answer | Handwritten digit recognition from table gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)[1] edges |
| 2019-12-07 09:18:40 -0600 | commented answer | Handwritten digit recognition from table @berak The solution is interesting but it will work only for some of the cases because the ones I need to test my solut |
| 2019-12-07 06:30:29 -0600 | asked a question | Handwritten digit recognition from table Handwritten digit recognition from table Hi. The big picture of my project is that I have a paper with multiple tables |