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NIPS demo
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parent
cbc9984a17
commit
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10
Makefile
10
Makefile
@ -1,5 +1,5 @@
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GPU=1
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GPU=0
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OPENCV=1
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OPENCV=0
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DEBUG=0
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DEBUG=0
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ARCH= -arch=sm_52
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ARCH= -arch=sm_52
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@ -42,7 +42,7 @@ endif
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OBJS = $(addprefix $(OBJDIR), $(OBJ))
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OBJS = $(addprefix $(OBJDIR), $(OBJ))
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DEPS = $(wildcard src/*.h) Makefile
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DEPS = $(wildcard src/*.h) Makefile
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all: $(EXEC)
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all: obj $(EXEC)
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$(EXEC): $(OBJS)
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$(EXEC): $(OBJS)
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$(CC) $(COMMON) $(CFLAGS) $(LDFLAGS) $^ -o $@
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$(CC) $(COMMON) $(CFLAGS) $(LDFLAGS) $^ -o $@
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@ -53,6 +53,10 @@ $(OBJDIR)%.o: %.c $(DEPS)
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$(OBJDIR)%.o: %.cu $(DEPS)
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$(OBJDIR)%.o: %.cu $(DEPS)
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$(NVCC) $(ARCH) $(COMMON) --compiler-options "$(CFLAGS)" -c $< -o $@
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$(NVCC) $(ARCH) $(COMMON) --compiler-options "$(CFLAGS)" -c $< -o $@
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obj:
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mkdir -p obj
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.PHONY: clean
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.PHONY: clean
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clean:
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clean:
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@ -7,16 +7,16 @@
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char *class_names[] = {"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"};
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char *class_names[] = {"aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"};
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void draw_detection(image im, float *box, int side, int bg, char *label)
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void draw_detection(image im, float *box, int side, char *label)
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{
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{
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int classes = 20;
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int classes = 20;
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int elems = 4+classes+bg;
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int elems = 4+classes;
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int j;
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int j;
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int r, c;
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int r, c;
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for(r = 0; r < side; ++r){
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for(r = 0; r < side; ++r){
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for(c = 0; c < side; ++c){
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for(c = 0; c < side; ++c){
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j = (r*side + c) * elems + bg;
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j = (r*side + c) * elems;
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int class = max_index(box+j, classes);
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int class = max_index(box+j, classes);
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if(box[j+class] > .2){
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if(box[j+class] > .2){
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printf("%f %s\n", box[j+class], class_names[class]);
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printf("%f %s\n", box[j+class], class_names[class]);
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@ -212,6 +212,7 @@ void test_detection(char *cfgfile, char *weightfile)
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load_weights(&net, weightfile);
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load_weights(&net, weightfile);
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}
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}
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detection_layer layer = get_network_detection_layer(net);
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detection_layer layer = get_network_detection_layer(net);
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if (!layer.joint) fprintf(stderr, "Detection layer should use joint prediction to draw correctly.\n");
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int im_size = 448;
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int im_size = 448;
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set_batch_network(&net, 1);
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set_batch_network(&net, 1);
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srand(2222222);
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srand(2222222);
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@ -227,7 +228,7 @@ void test_detection(char *cfgfile, char *weightfile)
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time=clock();
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time=clock();
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float *predictions = network_predict(net, X);
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float *predictions = network_predict(net, X);
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printf("%s: Predicted in %f seconds.\n", filename, sec(clock()-time));
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printf("%s: Predicted in %f seconds.\n", filename, sec(clock()-time));
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draw_detection(im, predictions, 7, layer.background || layer.objectness, "predictions");
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draw_detection(im, predictions, 7, "predictions");
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free_image(im);
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free_image(im);
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free_image(sized);
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free_image(sized);
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#ifdef OPENCV
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#ifdef OPENCV
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@ -577,13 +577,6 @@ image resize_image(image im, int w, int h)
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void test_resize(char *filename)
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void test_resize(char *filename)
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{
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{
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image im = load_image(filename, 0,0, 3);
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image im = load_image(filename, 0,0, 3);
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image small = resize_image(im, 65, 63);
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image big = resize_image(im, 513, 512);
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image crop = crop_image(im, 50, 10, 100, 100);
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image crop2 = crop_image(im, -30, -50, 291, 400);
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image rot = rotate_image(big, .02);
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image rot2 = rotate_image(big, 3.14159265/2.);
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image test = rotate_image(im, .6);
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image gray = grayscale_image(im);
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image gray = grayscale_image(im);
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image sat2 = copy_image(im);
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image sat2 = copy_image(im);
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