Hi @gliese581gg , thanks for your contribution. I am trying to use YOLO_tensorflow with my own data. In my case, I have only one class instead of twenty. But the predicted results look wired.
Detect from test/000001.jpg
class : person , [x,y,w,h]=[45369,8647,126158,65567124], Confidence = 244520.609375
class : person , [x,y,w,h]=[-26802,-5398,5088597,19755172], Confidence = 232279.8125
class : person , [x,y,w,h]=[12258,-17517,17608134,1292194], Confidence = 183967.25
class : person , [x,y,w,h]=[1019,22160,96605616,196041040], Confidence = 178907.359375
class : person , [x,y,w,h]=[35851,10878,123235376,17968262], Confidence = 151432.171875
class : person , [x,y,w,h]=[71956,851,852949,11031440], Confidence = 145848.53125
class : person , [x,y,w,h]=[7682,-25236,22954056,538540], Confidence = 132359.234375
class : person , [x,y,w,h]=[-21694,-13725,40971524,1902263], Confidence = 95931.6640625
class : person , [x,y,w,h]=[38253,19276,6859727,48585184], Confidence = 89467.0
class : person , [x,y,w,h]=[13523,-24957,4553577,1423567], Confidence = 74490.46875
class : person , [x,y,w,h]=[3787,-3641,992139,5403050], Confidence = 70976.2265625
class : person , [x,y,w,h]=[-10891,-4916,3603213,13878912], Confidence = 56827.625
class : person , [x,y,w,h]=[-12883,-25800,1299137,83736880], Confidence = 55708.5625
class : person , [x,y,w,h]=[-31738,11437,2519135,274351072], Confidence = 53423.0039062
class : person , [x,y,w,h]=[8397,-37182,2389233,4386721], Confidence = 48881.5351562
class : person , [x,y,w,h]=[34402,-34473,10568053,5177819], Confidence = 41862.3554688
class : person , [x,y,w,h]=[13694,24815,7719035,11419736], Confidence = 40599.4453125
class : person , [x,y,w,h]=[462,-7726,226900816,80183712], Confidence = 38687.9257812
class : person , [x,y,w,h]=[14439,-13202,79316960,99062216], Confidence = 38239.8046875
class : person , [x,y,w,h]=[-14805,-19603,929677,1499569], Confidence = 33585.4882812
class : person , [x,y,w,h]=[3124,-11344,12957400,74425856], Confidence = 22444.0820312
class : person , [x,y,w,h]=[-31926,27449,1705319,7300435], Confidence = 12408.9472656
class : person , [x,y,w,h]=[-12145,7537,1114292,19094782], Confidence = 11941.6816406
class : person , [x,y,w,h]=[-53315,-8329,277749888,34554292], Confidence = 10963.9599609
class : person , [x,y,w,h]=[1253,30142,157998,660307], Confidence = 10302.4365234
class : person , [x,y,w,h]=[19752,21742,146969440,2590379], Confidence = 7036.48242188
class : person , [x,y,w,h]=[-18835,18027,3787717,6480133], Confidence = 3276.29248047
class : person , [x,y,w,h]=[15692,-2958,2396650,2175370], Confidence = 3019.89477539
class : person , [x,y,w,h]=[-63202,-22727,1383302,37817744], Confidence = 2815.88476562
class : person , [x,y,w,h]=[-22326,-14030,19698512,30643840], Confidence = 2545.984375
class : person , [x,y,w,h]=[-29970,-8228,3057553,373867], Confidence = 2258.04638672
class : person , [x,y,w,h]=[51746,8662,122952992,5934942], Confidence = 1335.06506348
class : person , [x,y,w,h]=[-18909,27509,15886056,11232379], Confidence = 1284.54443359
class : person , [x,y,w,h]=[2639,-4647,236642752,14768430], Confidence = 404.019073486
init done
opengl support available
Elapsed time : 0.811434030533 secs
I am using yolo-tiny network. How to implement my own data, when I have few classes?
Hi @gliese581gg , thanks for your contribution. I am trying to use YOLO_tensorflow with my own data. In my case, I have only one class instead of twenty. But the predicted results look wired.
Detect from test/000001.jpg class : person , [x,y,w,h]=[45369,8647,126158,65567124], Confidence = 244520.609375 class : person , [x,y,w,h]=[-26802,-5398,5088597,19755172], Confidence = 232279.8125 class : person , [x,y,w,h]=[12258,-17517,17608134,1292194], Confidence = 183967.25 class : person , [x,y,w,h]=[1019,22160,96605616,196041040], Confidence = 178907.359375 class : person , [x,y,w,h]=[35851,10878,123235376,17968262], Confidence = 151432.171875 class : person , [x,y,w,h]=[71956,851,852949,11031440], Confidence = 145848.53125 class : person , [x,y,w,h]=[7682,-25236,22954056,538540], Confidence = 132359.234375 class : person , [x,y,w,h]=[-21694,-13725,40971524,1902263], Confidence = 95931.6640625 class : person , [x,y,w,h]=[38253,19276,6859727,48585184], Confidence = 89467.0 class : person , [x,y,w,h]=[13523,-24957,4553577,1423567], Confidence = 74490.46875 class : person , [x,y,w,h]=[3787,-3641,992139,5403050], Confidence = 70976.2265625 class : person , [x,y,w,h]=[-10891,-4916,3603213,13878912], Confidence = 56827.625 class : person , [x,y,w,h]=[-12883,-25800,1299137,83736880], Confidence = 55708.5625 class : person , [x,y,w,h]=[-31738,11437,2519135,274351072], Confidence = 53423.0039062 class : person , [x,y,w,h]=[8397,-37182,2389233,4386721], Confidence = 48881.5351562 class : person , [x,y,w,h]=[34402,-34473,10568053,5177819], Confidence = 41862.3554688 class : person , [x,y,w,h]=[13694,24815,7719035,11419736], Confidence = 40599.4453125 class : person , [x,y,w,h]=[462,-7726,226900816,80183712], Confidence = 38687.9257812 class : person , [x,y,w,h]=[14439,-13202,79316960,99062216], Confidence = 38239.8046875 class : person , [x,y,w,h]=[-14805,-19603,929677,1499569], Confidence = 33585.4882812 class : person , [x,y,w,h]=[3124,-11344,12957400,74425856], Confidence = 22444.0820312 class : person , [x,y,w,h]=[-31926,27449,1705319,7300435], Confidence = 12408.9472656 class : person , [x,y,w,h]=[-12145,7537,1114292,19094782], Confidence = 11941.6816406 class : person , [x,y,w,h]=[-53315,-8329,277749888,34554292], Confidence = 10963.9599609 class : person , [x,y,w,h]=[1253,30142,157998,660307], Confidence = 10302.4365234 class : person , [x,y,w,h]=[19752,21742,146969440,2590379], Confidence = 7036.48242188 class : person , [x,y,w,h]=[-18835,18027,3787717,6480133], Confidence = 3276.29248047 class : person , [x,y,w,h]=[15692,-2958,2396650,2175370], Confidence = 3019.89477539 class : person , [x,y,w,h]=[-63202,-22727,1383302,37817744], Confidence = 2815.88476562 class : person , [x,y,w,h]=[-22326,-14030,19698512,30643840], Confidence = 2545.984375 class : person , [x,y,w,h]=[-29970,-8228,3057553,373867], Confidence = 2258.04638672 class : person , [x,y,w,h]=[51746,8662,122952992,5934942], Confidence = 1335.06506348 class : person , [x,y,w,h]=[-18909,27509,15886056,11232379], Confidence = 1284.54443359 class : person , [x,y,w,h]=[2639,-4647,236642752,14768430], Confidence = 404.019073486 init done opengl support available Elapsed time : 0.811434030533 secs I am using yolo-tiny network. How to implement my own data, when I have few classes?