### vnc host 192.168.10.21 work path /home/logic/_workspace/task-list/servers/logic-NUC8i5BEH/opencv-workdesk/001_monitor/src/007-test # test results ### currently bad result on recognizing elephant, horse and mountain - i want to know if increase nPos can help - 400 -> 4000 - 400 -> 12000 - i am testing nPos 10, nNeg ~2000, nStages 15 on `007-train-bus-test-big-pos-pic` - i want to know if large dimensions of pos image can help | nPos(p) | nNeg(n) | nStage(s) | px | success | TT | TT base | FT | FT base | reasons / remarks / conclusion | | :-----: | :-----: | :-------: | :--------: | :-----: | :---: | :-----: | :---: | :-----: | :--------------------------------------------------------------------------------------------- | | 12800 | 200 | 5 | 24 | failed | ? | ? | ? | ? | 007-train-bus-test-pos-pic-100px, i want to know lower stage can build ? | | 32000 | 200 | 5 | 24 | failed | ? | ? | ? | ? | 007-train-bus-test-pos-pic-24px, i need a build success | | 9600 | 200 | 5 | 24 | failed | ? | ? | ? | ? | 007-train-bus-test-pos-pic-100px, i want to know lower stage can build ? | | 9600 | 200 | 15 | 24 | failed | ? | ? | ? | ? | 007-train-bus-test-pos-pic-24px, i need a build success | | 2400 | 200 | 15 | 24 | failed | ? | ? | ? | ? | 007-train-bus-test-pos-pic-24px, i need a build success | | 400 | 200 | 15 | 50 | N/A | 1 | 50 | 2 | 450 | 007-train-bus-test-big-pos-pic, seems good when using 50px, build failed, increase nPos to 800 | | 50 | 200 | 15 | 100 | N/A | 50 | 50 | 450 | 450 | 007-train-bus-test-pos-pic-50, try pos 10 -> 50 samples, | | 10 | 200 | 5 | 100 | N/A | 0 | 50 | 0 | 450 | 007-train-bus-test-pos-pic-100px, try 100px pos size | | 10 | 200 | 15 | 50 | N/A | 1 | 50 | 2 | 450 | 007-train-bus-test-big-pos-pic, try 50px pos size | | 10 | 200 | 5 | orig. size | N/A | 0 | 50 | 0 | 450 | seems original size not a correct size, try 50px black and white | | 200 | 1783 | 15 | 24 | N/A | 7 | 7 | 51 | 51 | ongoing, test to find bus image | | 200 | 1971 | 15 | 24 | N/A | 7 | 7 | 51 | 51 | ongoing, add flowers and horse | | 200 | 1603 | 5 | 50 | N/A | x | x | x | x | try reduce fault rate by increase px, resut -> cannot built | | 200 | 1603 | 10 | 24 | N/A | 50 | 50 | 441 | 450 | stage 10 is not acceptable, return to use 15 | | 200 | 1603 | 5 | 24 | N/A | 50 | 50 | 450 | ~450 | small stage can kills accurancy | | 200 | 1603 | 15 | 24 | N/A | 33 | 50 | 100 | 450 | currently best bulid | | 200 | 1354 | 5 | 24 | N/A | 4 | 4 | 9 | 26 | i want to see if stage can keep same result but trainging faster | | 200 | 1354 | 15 | 24 | N/A | 4 | 4 | 9 | 26 | ongoing | | 200 | 944 | 15 | 24 | N/A | 4 | 4 | 9 | 26 | guess, this is 900 + 44 bus photo result | | 200 | 900 | 15 | 100 | N/A | 2 | 2 | 7 | 14 | ongoing, i want to know if i increase px increase accuracy | | 200 | 900 | 15 | 24 | N/A | 2 | 2 | 7 | 14 | | | 100 | 300 | 15 | x | N/A | 33 | 142 | x | x | | ```bash -numPos 100 -numNeg 300 -numStages 15 ``` ```bash count_good_result : 33 count_good_result_base : 99 count_bad_result : 142 ``` ### test with 100 posdata ```bash count_good_result : 33 count_good_result_base : 99 count_bad_result : 142 ``` https://pythonprogramming.net/haar-cascade-object-detection-python-opencv-tutorial/ i want to test haar cascade classifier, i need to make a helloworld https://machinelearningmastery.com/training-a-haar-cascade-object-detector-in-opencv/ https://github.com/yang-hfff/opencv_traincascade/tree/master https://cloud.tencent.com/developer/article/1996918