diff --git a/build/darknet/x64/darknet_coco_9000.cmd b/build/darknet/x64/darknet_coco_9000.cmd new file mode 100644 index 00000000..58fee2e0 --- /dev/null +++ b/build/darknet/x64/darknet_coco_9000.cmd @@ -0,0 +1,5 @@ + +darknet.exe detector test cfg/combine9k.data yolo9000.cfg yolo9000.weights data/dog.jpg + + +pause \ No newline at end of file diff --git a/build/darknet/x64/darknet_coco_9000_demo.cmd b/build/darknet/x64/darknet_coco_9000_demo.cmd new file mode 100644 index 00000000..390d7d4b --- /dev/null +++ b/build/darknet/x64/darknet_coco_9000_demo.cmd @@ -0,0 +1,7 @@ + +darknet.exe detector demo cfg/combine9k.data yolo9000.cfg yolo9000.weights street4k.mp4 + + + + +pause \ No newline at end of file diff --git a/build/darknet/x64/data/9k.labels b/build/darknet/x64/data/9k.labels new file mode 100644 index 00000000..e2bd3082 --- /dev/null +++ b/build/darknet/x64/data/9k.labels @@ -0,0 +1,9418 @@ +n00002452 +n00020827 +n00002684 +n11425580 +n05220461 +n09225146 +n05538625 +n01900150 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b/build/darknet/x64/data/combine9k.data new file mode 100644 index 00000000..06a3e76a --- /dev/null +++ b/build/darknet/x64/data/combine9k.data @@ -0,0 +1,10 @@ +classes= 9418 +#train = /home/pjreddie/data/coco/trainvalno5k.txt +train = data/combine9k.train.list +valid = /home/pjreddie/data/imagenet/det.val.files +labels = data/9k.labels +names = data/9k.names +backup = backup/ +map = data/inet9k.map +eval = imagenet +results = results diff --git a/build/darknet/x64/data/inet9k.map b/build/darknet/x64/data/inet9k.map new file mode 100644 index 00000000..c91b3c15 --- /dev/null +++ b/build/darknet/x64/data/inet9k.map @@ -0,0 +1,200 @@ +2687 +4107 +8407 +7254 +42 +6797 +127 +2268 +2442 +3704 +260 +1970 +58 +4443 +2661 +2043 +2039 +4858 +4007 +6858 +8408 +166 +2523 +3768 +4347 +6527 +2446 +5005 +3274 +3678 +4918 +709 +4072 +8428 +7223 +2251 +3802 +3848 +7271 +2677 +8267 +2849 +2518 +2738 +3746 +5105 +3430 +3503 +2249 +1841 +2032 +2358 +122 +3984 +4865 +3246 +5095 +6912 +6878 +8467 +2741 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+1,218 @@ +[net] +# Testing +batch=1 +subdivisions=1 +# Training +# batch=64 +# subdivisions=8 +batch=1 +subdivisions=1 +height=544 +width=544 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.001 +burn_in=1000 +max_batches = 500200 +policy=steps +steps=400000,450000 +scales=.1,.1 + +hue=.1 +saturation=.75 +exposure=.75 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=28269 +size=1 +stride=1 +pad=1 +activation=linear + +[region] +anchors = 0.77871, 1.14074, 3.00525, 4.31277, 9.22725, 9.61974 +bias_match=1 +classes=9418 +coords=4 +num=3 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +thresh = .6 +absolute=1 +random=1 + +tree=data/9k.tree +map = data/coco9k.map diff --git a/cfg/combine9k.data b/cfg/combine9k.data new file mode 100644 index 00000000..06a3e76a --- /dev/null +++ b/cfg/combine9k.data @@ -0,0 +1,10 @@ +classes= 9418 +#train = /home/pjreddie/data/coco/trainvalno5k.txt +train = data/combine9k.train.list +valid = /home/pjreddie/data/imagenet/det.val.files +labels = data/9k.labels +names = data/9k.names +backup = backup/ +map = data/inet9k.map +eval = imagenet +results = results diff --git a/cfg/yolo9000.cfg b/cfg/yolo9000.cfg new file mode 100644 index 00000000..e745f78a --- /dev/null +++ b/cfg/yolo9000.cfg @@ -0,0 +1,218 @@ +[net] +# Testing +batch=1 +subdivisions=1 +# Training +# batch=64 +# subdivisions=8 +batch=1 +subdivisions=1 +height=544 +width=544 +channels=3 +momentum=0.9 +decay=0.0005 + +learning_rate=0.001 +burn_in=1000 +max_batches = 500200 +policy=steps +steps=400000,450000 +scales=.1,.1 + +hue=.1 +saturation=.75 +exposure=.75 + +[convolutional] +batch_normalize=1 +filters=32 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=64 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=64 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=128 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=256 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=3 +stride=1 +pad=1 +activation=leaky + +[maxpool] +size=2 +stride=2 + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=512 +size=1 +stride=1 +pad=1 +activation=leaky + +[convolutional] +batch_normalize=1 +filters=1024 +size=3 +stride=1 +pad=1 +activation=leaky + +[convolutional] +filters=28269 +size=1 +stride=1 +pad=1 +activation=linear + +[region] +anchors = 0.77871, 1.14074, 3.00525, 4.31277, 9.22725, 9.61974 +bias_match=1 +classes=9418 +coords=4 +num=3 +softmax=1 +jitter=.2 +rescore=1 + +object_scale=5 +noobject_scale=1 +class_scale=1 +coord_scale=1 + +thresh = .6 +absolute=1 +random=1 + +tree=data/9k.tree +map = data/coco9k.map diff --git a/src/image.c b/src/image.c index b063a680..caded322 100644 --- a/src/image.c +++ b/src/image.c @@ -543,7 +543,7 @@ void show_image_cv_ipl(IplImage *disp, const char *name) //printf("\n cvCreateVideoWriter, DST output_video = %p \n", output_video); } - //cvWriteFrame(output_video, disp); // comment this line to improve FPS !!! + cvWriteFrame(output_video, disp); // comment this line to improve FPS !!! printf("\n cvWriteFrame \n"); }