AlexeyAB / darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
http://pjreddie.com/darknet/
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problem in flag -letter_box #3373

Open tuteming opened 5 years ago

tuteming commented 5 years ago

According to #3227(differences in confidence between this fork and pjreddie). if I want to use flag -letter_box in the yolo_cpp_dll.dll rather than darknet.exe or yolo_console_dll.exe. What is the place I should add? Thanks.

rxjx commented 5 years ago

I would like to know this as well

AlexeyAB commented 5 years ago

@tuteming @rxjx Hi,

Download the latest Darknet version And just comment these two lines https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L257-L258

And uncomment these two lines: https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L259-L260

letter_box=1 variable is used here: https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L263


Commit: https://github.com/AlexeyAB/darknet/commit/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e#diff-31d764b318cb99bbd56e332800dbfc3eR257

rxjx commented 5 years ago

Hi Alexey,

I don’t think the letter_box flag is working correctly. I used https://pjreddie.com/media/files/yolov3.weights https://pjreddie.com/media/files/yolov3.weights on the appended image, with the coco data file appended, and cfg/yolov3.cfg. I tried via the python script and directly from the command line (i.e. darknet detector test coco.data cfg/yolov3.cfg yolov3.weights -letter_box frame134.jpg). For this image I get 97% for ’tvmonitor’ on pjreddie’s code and 87% for it in your latest code. Please take a look when you get a chance. I tried adding ‘letter_box=1’ in the [net] section of the cfg files well. I see very similar results in 100s of images over multiple categories and weights files.

Regards, Rohit

On Jul 1, 2019, at 9:10 AM, Alexey notifications@github.com wrote:

@tuteming https://github.com/tuteming @rxjx https://github.com/rxjx Hi,

Download the latest Darknet version And just comment these two lines https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L257-L258 https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L257-L258 And uncomment these two lines: https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L259-L260 https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L259-L260 letter_box=1 variable is used here: https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L263 https://github.com/AlexeyAB/darknet/blob/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e/darknet.py#L263 Commit: 54e2d0b#diff-31d764b318cb99bbd56e332800dbfc3eR257 https://github.com/AlexeyAB/darknet/commit/54e2d0b0e8909bc1da8a2d15113b4f2669ce2f4e#diff-31d764b318cb99bbd56e332800dbfc3eR257 — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/AlexeyAB/darknet/issues/3373?email_source=notifications&email_token=ACAR4FKHN3VPIXY3HJ4KVZTP5IUADA5CNFSM4HWUAT42YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGODY6TYYY#issuecomment-507329635, or mute the thread https://github.com/notifications/unsubscribe-auth/ACAR4FM3UBSXTC3N3RQVELTP5IUADANCNFSM4HWUAT4Q.

AlexeyAB commented 5 years ago

@rxjx Hi,

Can you show screenshots of terminal with command and detections for both repo?

rxjx commented 5 years ago

Appended as separate files.

On Jul 19, 2019, at 3:28 PM, Alexey notifications@github.com wrote:

@rxjx https://github.com/rxjx Hi,

Can you show screenshots of terminal with command and detections for both repo?

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/AlexeyAB/darknet/issues/3373?email_source=notifications&email_token=ACAR4FOMG6O3PZM5FMLHRGDQAI5XXA5CNFSM4HWUAT42YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD2M5QKI#issuecomment-513398825, or mute the thread https://github.com/notifications/unsubscribe-auth/ACAR4FKN732R5V4XFBQU233QAI5XXANCNFSM4HWUAT4Q.

root@641a156e6265:~/bin# ls /darknet LICENSE LICENSE.gpl LICENSE.v1 README.md darknet include obj scripts LICENSE.fuck LICENSE.meta Makefile backup data libdarknet.a python src LICENSE.gen LICENSE.mit Makefile.old cfg examples libdarknet.so results yolov3.weights root@641a156e6265:~/bin# ls aup coco.data darknet.pyc object_recognition.py weapons bad.list darknet.py frame2.jpg predictions.jpg whiteboards root@641a156e6265:~/bin# /darknet/darknet detector test ./coco.data /darknet/cfg/yolov3.cfg /darknet/yolov3.weights frame2.jpg Cannot load image "data/labels/32_0.png" Cannot load image "data/labels/33_0.png" Cannot load image "data/labels/34_0.png" Cannot load image "data/labels/35_0.png" Cannot load image "data/labels/36_0.png" Cannot load image "data/labels/37_0.png" Cannot load image "data/labels/38_0.png" Cannot load image "data/labels/39_0.png" Cannot load image "data/labels/40_0.png" Cannot load image "data/labels/41_0.png" Cannot load image "data/labels/42_0.png" Cannot load 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"data/labels/47_4.png" Cannot load image "data/labels/48_4.png" Cannot load image "data/labels/49_4.png" Cannot load image "data/labels/50_4.png" Cannot load image "data/labels/51_4.png" Cannot load image "data/labels/52_4.png" Cannot load image "data/labels/53_4.png" Cannot load image "data/labels/54_4.png" Cannot load image "data/labels/55_4.png" Cannot load image "data/labels/56_4.png" Cannot load image "data/labels/57_4.png" Cannot load image "data/labels/58_4.png" Cannot load image "data/labels/59_4.png" Cannot load image "data/labels/60_4.png" Cannot load image "data/labels/61_4.png" Cannot load image "data/labels/62_4.png" Cannot load image "data/labels/63_4.png" Cannot load image "data/labels/64_4.png" Cannot load image "data/labels/65_4.png" Cannot load image "data/labels/66_4.png" Cannot load image "data/labels/67_4.png" Cannot load image "data/labels/68_4.png" Cannot load image "data/labels/69_4.png" Cannot load image "data/labels/70_4.png" Cannot load image "data/labels/71_4.png" Cannot load image "data/labels/72_4.png" Cannot load image "data/labels/73_4.png" Cannot load image "data/labels/74_4.png" Cannot load image "data/labels/75_4.png" Cannot load image "data/labels/76_4.png" Cannot load image "data/labels/77_4.png" Cannot load image "data/labels/78_4.png" Cannot load image "data/labels/79_4.png" Cannot load image "data/labels/80_4.png" Cannot load image "data/labels/81_4.png" Cannot load image "data/labels/82_4.png" Cannot load image "data/labels/83_4.png" Cannot load image "data/labels/84_4.png" Cannot load image "data/labels/85_4.png" Cannot load image "data/labels/86_4.png" Cannot load image "data/labels/87_4.png" Cannot load image "data/labels/88_4.png" Cannot load image "data/labels/89_4.png" Cannot load image "data/labels/90_4.png" Cannot load image "data/labels/91_4.png" Cannot load image "data/labels/92_4.png" Cannot load image "data/labels/93_4.png" Cannot load image "data/labels/94_4.png" Cannot load image "data/labels/95_4.png" Cannot load image "data/labels/96_4.png" Cannot load image "data/labels/97_4.png" Cannot load image "data/labels/98_4.png" Cannot load image "data/labels/99_4.png" Cannot load image "data/labels/100_4.png" Cannot load image "data/labels/101_4.png" Cannot load image "data/labels/102_4.png" Cannot load image "data/labels/103_4.png" Cannot load image "data/labels/104_4.png" Cannot load image "data/labels/105_4.png" Cannot load image "data/labels/106_4.png" Cannot load image "data/labels/107_4.png" Cannot load image "data/labels/108_4.png" Cannot load image "data/labels/109_4.png" Cannot load image "data/labels/110_4.png" Cannot load image "data/labels/111_4.png" Cannot load image "data/labels/112_4.png" Cannot load image "data/labels/113_4.png" Cannot load image "data/labels/114_4.png" Cannot load image "data/labels/115_4.png" Cannot load image "data/labels/116_4.png" Cannot load image "data/labels/117_4.png" Cannot load image "data/labels/118_4.png" Cannot load image "data/labels/119_4.png" Cannot load image "data/labels/120_4.png" Cannot load image "data/labels/121_4.png" Cannot load image "data/labels/122_4.png" Cannot load image "data/labels/123_4.png" Cannot load image "data/labels/124_4.png" Cannot load image "data/labels/125_4.png" Cannot load image "data/labels/126_4.png" Cannot load image "data/labels/32_5.png" Cannot load image "data/labels/33_5.png" Cannot load image "data/labels/34_5.png" Cannot load image "data/labels/35_5.png" Cannot load image "data/labels/36_5.png" Cannot load image "data/labels/37_5.png" Cannot load image "data/labels/38_5.png" Cannot load image "data/labels/39_5.png" Cannot load image "data/labels/40_5.png" Cannot load image "data/labels/41_5.png" Cannot load image "data/labels/42_5.png" Cannot load image "data/labels/43_5.png" Cannot load image "data/labels/44_5.png" Cannot load image "data/labels/45_5.png" Cannot load image "data/labels/46_5.png" Cannot load image "data/labels/47_5.png" Cannot load image "data/labels/48_5.png" Cannot load image "data/labels/49_5.png" Cannot load image "data/labels/50_5.png" Cannot load image "data/labels/51_5.png" Cannot load image "data/labels/52_5.png" Cannot load image "data/labels/53_5.png" Cannot load image "data/labels/54_5.png" Cannot load image "data/labels/55_5.png" Cannot load image "data/labels/56_5.png" Cannot load image "data/labels/57_5.png" Cannot load image "data/labels/58_5.png" Cannot load image "data/labels/59_5.png" Cannot load image "data/labels/60_5.png" Cannot load image "data/labels/61_5.png" Cannot load image "data/labels/62_5.png" Cannot load image "data/labels/63_5.png" Cannot load image "data/labels/64_5.png" Cannot load image "data/labels/65_5.png" Cannot load image "data/labels/66_5.png" Cannot load image "data/labels/67_5.png" Cannot load image "data/labels/68_5.png" Cannot load image "data/labels/69_5.png" Cannot load image "data/labels/70_5.png" Cannot load image "data/labels/71_5.png" Cannot load image "data/labels/72_5.png" Cannot load image "data/labels/73_5.png" Cannot load image "data/labels/74_5.png" Cannot load image "data/labels/75_5.png" Cannot load image "data/labels/76_5.png" Cannot load image "data/labels/77_5.png" Cannot load image "data/labels/78_5.png" Cannot load image "data/labels/79_5.png" Cannot load image "data/labels/80_5.png" Cannot load image "data/labels/81_5.png" Cannot load image "data/labels/82_5.png" Cannot load image "data/labels/83_5.png" Cannot load image "data/labels/84_5.png" Cannot load image "data/labels/85_5.png" Cannot load image "data/labels/86_5.png" Cannot load image "data/labels/87_5.png" Cannot load image "data/labels/88_5.png" Cannot load image "data/labels/89_5.png" Cannot load image "data/labels/90_5.png" Cannot load image "data/labels/91_5.png" Cannot load image "data/labels/92_5.png" Cannot load image "data/labels/93_5.png" Cannot load image "data/labels/94_5.png" Cannot load image "data/labels/95_5.png" Cannot load image "data/labels/96_5.png" Cannot load image "data/labels/97_5.png" Cannot load image "data/labels/98_5.png" Cannot load image "data/labels/99_5.png" Cannot load image "data/labels/100_5.png" Cannot load image "data/labels/101_5.png" Cannot load image "data/labels/102_5.png" Cannot load image "data/labels/103_5.png" Cannot load image "data/labels/104_5.png" Cannot load image "data/labels/105_5.png" Cannot load image "data/labels/106_5.png" Cannot load image "data/labels/107_5.png" Cannot load image "data/labels/108_5.png" Cannot load image "data/labels/109_5.png" Cannot load image "data/labels/110_5.png" Cannot load image "data/labels/111_5.png" Cannot load image "data/labels/112_5.png" Cannot load image "data/labels/113_5.png" Cannot load image "data/labels/114_5.png" Cannot load image "data/labels/115_5.png" Cannot load image "data/labels/116_5.png" Cannot load image "data/labels/117_5.png" Cannot load image "data/labels/118_5.png" Cannot load image "data/labels/119_5.png" Cannot load image "data/labels/120_5.png" Cannot load image "data/labels/121_5.png" Cannot load image "data/labels/122_5.png" Cannot load image "data/labels/123_5.png" Cannot load image "data/labels/124_5.png" Cannot load image "data/labels/125_5.png" Cannot load image "data/labels/126_5.png" Cannot load image "data/labels/32_6.png" Cannot load image "data/labels/33_6.png" Cannot load image "data/labels/34_6.png" Cannot load image "data/labels/35_6.png" Cannot load image "data/labels/36_6.png" Cannot load image "data/labels/37_6.png" Cannot load image "data/labels/38_6.png" Cannot load image "data/labels/39_6.png" Cannot load image "data/labels/40_6.png" Cannot load image "data/labels/41_6.png" Cannot load image "data/labels/42_6.png" Cannot load image "data/labels/43_6.png" Cannot load image "data/labels/44_6.png" Cannot load image "data/labels/45_6.png" Cannot load image "data/labels/46_6.png" Cannot load image "data/labels/47_6.png" Cannot load image "data/labels/48_6.png" Cannot load image "data/labels/49_6.png" Cannot load image "data/labels/50_6.png" Cannot load image "data/labels/51_6.png" Cannot load image "data/labels/52_6.png" Cannot load image "data/labels/53_6.png" Cannot load image "data/labels/54_6.png" Cannot load image "data/labels/55_6.png" Cannot load image "data/labels/56_6.png" Cannot load image "data/labels/57_6.png" Cannot load image "data/labels/58_6.png" Cannot load image "data/labels/59_6.png" Cannot load image "data/labels/60_6.png" Cannot load image "data/labels/61_6.png" Cannot load image "data/labels/62_6.png" Cannot load image "data/labels/63_6.png" Cannot load image "data/labels/64_6.png" Cannot load image "data/labels/65_6.png" Cannot load image "data/labels/66_6.png" Cannot load image "data/labels/67_6.png" Cannot load image "data/labels/68_6.png" Cannot load image "data/labels/69_6.png" Cannot load image "data/labels/70_6.png" Cannot load image "data/labels/71_6.png" Cannot load image "data/labels/72_6.png" Cannot load image "data/labels/73_6.png" Cannot load image "data/labels/74_6.png" Cannot load image "data/labels/75_6.png" Cannot load image "data/labels/76_6.png" Cannot load image "data/labels/77_6.png" Cannot load image "data/labels/78_6.png" Cannot load image "data/labels/79_6.png" Cannot load image "data/labels/80_6.png" Cannot load image "data/labels/81_6.png" Cannot load image "data/labels/82_6.png" Cannot load image "data/labels/83_6.png" Cannot load image "data/labels/84_6.png" Cannot load image "data/labels/85_6.png" Cannot load image "data/labels/86_6.png" Cannot load image "data/labels/87_6.png" Cannot load image "data/labels/88_6.png" Cannot load image "data/labels/89_6.png" Cannot load image "data/labels/90_6.png" Cannot load image "data/labels/91_6.png" Cannot load image "data/labels/92_6.png" Cannot load image "data/labels/93_6.png" Cannot load image "data/labels/94_6.png" Cannot load image "data/labels/95_6.png" Cannot load image "data/labels/96_6.png" Cannot load image "data/labels/97_6.png" Cannot load image "data/labels/98_6.png" Cannot load image "data/labels/99_6.png" Cannot load image "data/labels/100_6.png" Cannot load image "data/labels/101_6.png" Cannot load image "data/labels/102_6.png" Cannot load image "data/labels/103_6.png" Cannot load image "data/labels/104_6.png" Cannot load image "data/labels/105_6.png" Cannot load image "data/labels/106_6.png" Cannot load image "data/labels/107_6.png" Cannot load image "data/labels/108_6.png" Cannot load image "data/labels/109_6.png" Cannot load image "data/labels/110_6.png" Cannot load image "data/labels/111_6.png" Cannot load image "data/labels/112_6.png" Cannot load image "data/labels/113_6.png" Cannot load image "data/labels/114_6.png" Cannot load image "data/labels/115_6.png" Cannot load image "data/labels/116_6.png" Cannot load image "data/labels/117_6.png" Cannot load image "data/labels/118_6.png" Cannot load image "data/labels/119_6.png" Cannot load image "data/labels/120_6.png" Cannot load image "data/labels/121_6.png" Cannot load image "data/labels/122_6.png" Cannot load image "data/labels/123_6.png" Cannot load image "data/labels/124_6.png" Cannot load image "data/labels/125_6.png" Cannot load image "data/labels/126_6.png" Cannot load image "data/labels/32_7.png" Cannot load image "data/labels/33_7.png" Cannot load image "data/labels/34_7.png" Cannot load image "data/labels/35_7.png" Cannot load image "data/labels/36_7.png" Cannot load image "data/labels/37_7.png" Cannot load image "data/labels/38_7.png" Cannot load image "data/labels/39_7.png" Cannot load image "data/labels/40_7.png" Cannot load image "data/labels/41_7.png" Cannot load image "data/labels/42_7.png" Cannot load image "data/labels/43_7.png" Cannot load image "data/labels/44_7.png" Cannot load image "data/labels/45_7.png" Cannot load image "data/labels/46_7.png" Cannot load image "data/labels/47_7.png" Cannot load image "data/labels/48_7.png" Cannot load image "data/labels/49_7.png" Cannot load image "data/labels/50_7.png" Cannot load image "data/labels/51_7.png" Cannot load image "data/labels/52_7.png" Cannot load image "data/labels/53_7.png" Cannot load image "data/labels/54_7.png" Cannot load image "data/labels/55_7.png" Cannot load image "data/labels/56_7.png" Cannot load image "data/labels/57_7.png" Cannot load image "data/labels/58_7.png" Cannot load image "data/labels/59_7.png" Cannot load image "data/labels/60_7.png" Cannot load image "data/labels/61_7.png" Cannot load image "data/labels/62_7.png" Cannot load image "data/labels/63_7.png" Cannot load image "data/labels/64_7.png" Cannot load image "data/labels/65_7.png" Cannot load image "data/labels/66_7.png" Cannot load image "data/labels/67_7.png" Cannot load image "data/labels/68_7.png" Cannot load image "data/labels/69_7.png" Cannot load image "data/labels/70_7.png" Cannot load image "data/labels/71_7.png" Cannot load image "data/labels/72_7.png" Cannot load image "data/labels/73_7.png" Cannot load image "data/labels/74_7.png" Cannot load image "data/labels/75_7.png" Cannot load image "data/labels/76_7.png" Cannot load image "data/labels/77_7.png" Cannot load image "data/labels/78_7.png" Cannot load image "data/labels/79_7.png" Cannot load image "data/labels/80_7.png" Cannot load image "data/labels/81_7.png" Cannot load image "data/labels/82_7.png" Cannot load image "data/labels/83_7.png" Cannot load image "data/labels/84_7.png" Cannot load image "data/labels/85_7.png" Cannot load image "data/labels/86_7.png" Cannot load image "data/labels/87_7.png" Cannot load image "data/labels/88_7.png" Cannot load image "data/labels/89_7.png" Cannot load image "data/labels/90_7.png" Cannot load image "data/labels/91_7.png" Cannot load image "data/labels/92_7.png" Cannot load image "data/labels/93_7.png" Cannot load image "data/labels/94_7.png" Cannot load image "data/labels/95_7.png" Cannot load image "data/labels/96_7.png" Cannot load image "data/labels/97_7.png" Cannot load image "data/labels/98_7.png" Cannot load image "data/labels/99_7.png" Cannot load image "data/labels/100_7.png" Cannot load image "data/labels/101_7.png" Cannot load image "data/labels/102_7.png" Cannot load image "data/labels/103_7.png" Cannot load image "data/labels/104_7.png" Cannot load image "data/labels/105_7.png" Cannot load image "data/labels/106_7.png" Cannot load image "data/labels/107_7.png" Cannot load image "data/labels/108_7.png" Cannot load image "data/labels/109_7.png" Cannot load image "data/labels/110_7.png" Cannot load image "data/labels/111_7.png" Cannot load image "data/labels/112_7.png" Cannot load image "data/labels/113_7.png" Cannot load image "data/labels/114_7.png" Cannot load image "data/labels/115_7.png" Cannot load image "data/labels/116_7.png" Cannot load image "data/labels/117_7.png" Cannot load image "data/labels/118_7.png" Cannot load image "data/labels/119_7.png" Cannot load image "data/labels/120_7.png" Cannot load image "data/labels/121_7.png" Cannot load image "data/labels/122_7.png" Cannot load image "data/labels/123_7.png" Cannot load image "data/labels/124_7.png" Cannot load image "data/labels/125_7.png" Cannot load image "data/labels/126_7.png" layer filters size input output 0 conv 32 3 x 3 / 1 608 x 608 x 3 -> 608 x 608 x 32 0.639 BFLOPs 1 conv 64 3 x 3 / 2 608 x 608 x 32 -> 304 x 304 x 64 3.407 BFLOPs 2 conv 32 1 x 1 / 1 304 x 304 x 64 -> 304 x 304 x 32 0.379 BFLOPs 3 conv 64 3 x 3 / 1 304 x 304 x 32 -> 304 x 304 x 64 3.407 BFLOPs 4 res 1 304 x 304 x 64 -> 304 x 304 x 64 5 conv 128 3 x 3 / 2 304 x 304 x 64 -> 152 x 152 x 128 3.407 BFLOPs 6 conv 64 1 x 1 / 1 152 x 152 x 128 -> 152 x 152 x 64 0.379 BFLOPs 7 conv 128 3 x 3 / 1 152 x 152 x 64 -> 152 x 152 x 128 3.407 BFLOPs 8 res 5 152 x 152 x 128 -> 152 x 152 x 128 9 conv 64 1 x 1 / 1 152 x 152 x 128 -> 152 x 152 x 64 0.379 BFLOPs 10 conv 128 3 x 3 / 1 152 x 152 x 64 -> 152 x 152 x 128 3.407 BFLOPs 11 res 8 152 x 152 x 128 -> 152 x 152 x 128 12 conv 256 3 x 3 / 2 152 x 152 x 128 -> 76 x 76 x 256 3.407 BFLOPs 13 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 14 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 15 res 12 76 x 76 x 256 -> 76 x 76 x 256 16 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 17 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 18 res 15 76 x 76 x 256 -> 76 x 76 x 256 19 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 20 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 21 res 18 76 x 76 x 256 -> 76 x 76 x 256 22 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 23 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 24 res 21 76 x 76 x 256 -> 76 x 76 x 256 25 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 26 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 27 res 24 76 x 76 x 256 -> 76 x 76 x 256 28 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 29 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 30 res 27 76 x 76 x 256 -> 76 x 76 x 256 31 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 32 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 33 res 30 76 x 76 x 256 -> 76 x 76 x 256 34 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 35 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 36 res 33 76 x 76 x 256 -> 76 x 76 x 256 37 conv 512 3 x 3 / 2 76 x 76 x 256 -> 38 x 38 x 512 3.407 BFLOPs 38 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 39 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 40 res 37 38 x 38 x 512 -> 38 x 38 x 512 41 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 42 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 43 res 40 38 x 38 x 512 -> 38 x 38 x 512 44 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 45 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 46 res 43 38 x 38 x 512 -> 38 x 38 x 512 47 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 48 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 49 res 46 38 x 38 x 512 -> 38 x 38 x 512 50 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 51 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 52 res 49 38 x 38 x 512 -> 38 x 38 x 512 53 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 54 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 55 res 52 38 x 38 x 512 -> 38 x 38 x 512 56 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 57 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 58 res 55 38 x 38 x 512 -> 38 x 38 x 512 59 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 60 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 61 res 58 38 x 38 x 512 -> 38 x 38 x 512 62 conv 1024 3 x 3 / 2 38 x 38 x 512 -> 19 x 19 x1024 3.407 BFLOPs 63 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 0.379 BFLOPs 64 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 3.407 BFLOPs 65 res 62 19 x 19 x1024 -> 19 x 19 x1024 66 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 0.379 BFLOPs 67 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 3.407 BFLOPs 68 res 65 19 x 19 x1024 -> 19 x 19 x1024 69 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 0.379 BFLOPs 70 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 3.407 BFLOPs 71 res 68 19 x 19 x1024 -> 19 x 19 x1024 72 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 0.379 BFLOPs 73 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 3.407 BFLOPs 74 res 71 19 x 19 x1024 -> 19 x 19 x1024 75 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 0.379 BFLOPs 76 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 3.407 BFLOPs 77 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 0.379 BFLOPs 78 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 3.407 BFLOPs 79 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 0.379 BFLOPs 80 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 3.407 BFLOPs 81 conv 255 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 255 0.189 BFLOPs 82 yolo 83 route 79 84 conv 256 1 x 1 / 1 19 x 19 x 512 -> 19 x 19 x 256 0.095 BFLOPs 85 upsample 2x 19 x 19 x 256 -> 38 x 38 x 256 86 route 85 61 87 conv 256 1 x 1 / 1 38 x 38 x 768 -> 38 x 38 x 256 0.568 BFLOPs 88 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 89 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 90 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 91 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 0.379 BFLOPs 92 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 3.407 BFLOPs 93 conv 255 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 255 0.377 BFLOPs 94 yolo 95 route 91 96 conv 128 1 x 1 / 1 38 x 38 x 256 -> 38 x 38 x 128 0.095 BFLOPs 97 upsample 2x 38 x 38 x 128 -> 76 x 76 x 128 98 route 97 36 99 conv 128 1 x 1 / 1 76 x 76 x 384 -> 76 x 76 x 128 0.568 BFLOPs 100 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 101 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 102 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 103 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 0.379 BFLOPs 104 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 3.407 BFLOPs 105 conv 255 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 255 0.754 BFLOPs 106 yolo Loading weights from /darknet/yolov3.weights...Done! frame2.jpg: Predicted in 0.270163 seconds. tvmonitor: 97% person: 100%

(predictions:1552): Gtk-WARNING **: cannot open display: root@641a156e6265:~/bin#

root@a3f7e91da597:~/bin# ls /darknet 3rdparty appveyor.yml cmake image_yolov3.sh results yolov3.weights CMakeLists.txt backup darknet include scripts DarknetConfig.cmake.in build darknet.py json_mjpeg_streams.sh src LICENSE build.ps1 darknet_video.py libdarknet.so uselib Makefile build.sh data net_cam_v3.sh video_v2.sh README.md cfg image_yolov2.sh obj video_yolov3.sh root@a3f7e91da597:~/bin# ls Dockerfile coco.data dog_test oid2vottjson.py test_objectRecognizer.py whiteboards pycache darknet.py frame2.jpg predictions.jpg ubuntu-16.04-yolo.sh whiteboards_test aup darknet.pyc hate_logos_test shippable.package.sh weapons bad.list docker-build.sh object_recognition.py shippable.yml weapons_test root@a3f7e91da597:~/bin# /darknet/darknet detector test ./coco.data /darknet/cfg/yolov3.cfg /darknet/yolov3.weights -dont_show -letter_box frame2.jpg Cannot load image data/labels/32_0.png Cannot load image data/labels/33_0.png Cannot load image data/labels/34_0.png Cannot load image 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rxjx commented 5 years ago

That might have been too much info. Here’s what you asked for:

pjreddie: root@641a156e6265:~/bin# /darknet/darknet detector test ./coco.data /darknet/cfg/yolov3.cfg /darknet/yolov3.weights frame2.jpg

Loading weights from /darknet/yolov3.weights...Done! 
frame2.jpg: Predicted in 0.270163 seconds. 
tvmonitor: 97% 
person: 100%

alexeyab: root@a3f7e91da597:~/bin# /darknet/darknet detector test ./coco.data /darknet/cfg/yolov3.cfg /darknet/yolov3.weights -dont_show -letter_box frame2.jpg

[yolo] params: iou loss: mse, iou_norm: 0.75, cls_norm: 1.00, scale_x_y: 1.00 
Total BFLOPS 65.864
 Allocate additional workspace_size = 52.43 MB 
Loading weights from /darknet/yolov3.weights…
 seen 64 
Done! 
frame2.jpg: Predicted in 9.116000 milli-seconds. 
tvmonitor: 87% 
person: 98%

On Jul 19, 2019, at 4:42 PM, Rohit Jain rohitjain0@gmail.com wrote:

Appended as separate files.

> On Jul 19, 2019, at 3:28 PM, Alexey > wrote: > > @rxjx Hi, > > Can you show screenshots of terminal with command and detections for both repo? > > — > You are receiving this because you were mentioned. > Reply to this email directly, view it on GitHub , or mute the thread . >
AlexeyAB commented 5 years ago

@rxjx You use different cfg-files:

rxjx commented 5 years ago

Ahh, didn’t realize they were different. Will check again with the same file and let you know.

On Jul 20, 2019, at 1:51 PM, Alexey notifications@github.com wrote:

@rxjx https://github.com/rxjx You use different cfg-files:

416x416: https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov3.cfg#L8-L9 https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov3.cfg#L8-L9 608x608: https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg#L8-L9 https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg#L8-L9 — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/AlexeyAB/darknet/issues/3373?email_source=notifications&email_token=ACAR4FOWKEFPWJKUXJ6H32TQAN3FPA5CNFSM4HWUAT42YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD2NVZUQ#issuecomment-513498322, or mute the thread https://github.com/notifications/unsubscribe-auth/ACAR4FPAFKB4VNXRDUGM6YDQAN3FPANCNFSM4HWUAT4Q.

rxjx commented 5 years ago

However, as I mentioned in my earlier email, I also saw differences with other cfg and weights where the files were exactly the same. I’ll find such an example and send to you.

On Jul 20, 2019, at 1:53 PM, Rohit Jain rohitjain0@gmail.com wrote:

Ahh, didn’t realize they were different. Will check again with the same file and let you know.

On Jul 20, 2019, at 1:51 PM, Alexey <notifications@github.com mailto:notifications@github.com> wrote:

@rxjx https://github.com/rxjx You use different cfg-files:

416x416: https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov3.cfg#L8-L9 https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov3.cfg#L8-L9 608x608: https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg#L8-L9 https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg#L8-L9 — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/AlexeyAB/darknet/issues/3373?email_source=notifications&email_token=ACAR4FOWKEFPWJKUXJ6H32TQAN3FPA5CNFSM4HWUAT42YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD2NVZUQ#issuecomment-513498322, or mute the thread https://github.com/notifications/unsubscribe-auth/ACAR4FPAFKB4VNXRDUGM6YDQAN3FPANCNFSM4HWUAT4Q.

rxjx commented 5 years ago

It looks like mostly working except in some cases I see a discrepancy of up to 0.15 in the confidence number. At least it’s not a big variation so I think I can live with that. Thanks!

On Jul 20, 2019, at 1:55 PM, Rohit Jain rohitjain0@gmail.com wrote:

However, as I mentioned in my earlier email, I also saw differences with other cfg and weights where the files were exactly the same. I’ll find such an example and send to you.

On Jul 20, 2019, at 1:53 PM, Rohit Jain <rohitjain0@gmail.com mailto:rohitjain0@gmail.com> wrote:

Ahh, didn’t realize they were different. Will check again with the same file and let you know.

On Jul 20, 2019, at 1:51 PM, Alexey <notifications@github.com mailto:notifications@github.com> wrote:

@rxjx https://github.com/rxjx You use different cfg-files:

416x416: https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov3.cfg#L8-L9 https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov3.cfg#L8-L9 608x608: https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg#L8-L9 https://github.com/pjreddie/darknet/blob/master/cfg/yolov3.cfg#L8-L9 — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/AlexeyAB/darknet/issues/3373?email_source=notifications&email_token=ACAR4FOWKEFPWJKUXJ6H32TQAN3FPA5CNFSM4HWUAT42YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD2NVZUQ#issuecomment-513498322, or mute the thread https://github.com/notifications/unsubscribe-auth/ACAR4FPAFKB4VNXRDUGM6YDQAN3FPANCNFSM4HWUAT4Q.

rxjx commented 5 years ago

Actually, it looks like all the differences I saw > 0.05 in confidence values are attributable to a bug in the pjreddie fork that results in different values when running the C++ code directly from the command line vs running it from a python script. That bug seems to be fixed in this fork. Great job yet again Alexey!