| | |
| | | int h = layer.crop_height; |
| | | int w = layer.crop_width; |
| | | int c = layer.c; |
| | | return float_to_image(h,w,c,layer.output); |
| | | return float_to_image(w,h,c,layer.output); |
| | | } |
| | | |
| | | crop_layer *make_crop_layer(int batch, int h, int w, int c, int crop_height, int crop_width, int flip) |
| | | crop_layer *make_crop_layer(int batch, int h, int w, int c, int crop_height, int crop_width, int flip, float angle, float saturation, float exposure) |
| | | { |
| | | fprintf(stderr, "Crop Layer: %d x %d -> %d x %d x %d image\n", h,w,crop_height,crop_width,c); |
| | | crop_layer *layer = calloc(1, sizeof(crop_layer)); |
| | |
| | | layer->w = w; |
| | | layer->c = c; |
| | | layer->flip = flip; |
| | | layer->angle = angle; |
| | | layer->saturation = saturation; |
| | | layer->exposure = exposure; |
| | | layer->crop_width = crop_width; |
| | | layer->crop_height = crop_height; |
| | | layer->output = calloc(crop_width*crop_height * c*batch, sizeof(float)); |
| | | #ifdef GPU |
| | | layer->output_gpu = cuda_make_array(layer->output, crop_width*crop_height*c*batch); |
| | | layer->rand_gpu = cuda_make_array(0, layer->batch*8); |
| | | #endif |
| | | return layer; |
| | | } |
| | |
| | | int flip = (layer.flip && rand()%2); |
| | | int dh = rand()%(layer.h - layer.crop_height + 1); |
| | | int dw = rand()%(layer.w - layer.crop_width + 1); |
| | | float scale = 2; |
| | | float trans = -1; |
| | | if(!state.train){ |
| | | flip = 0; |
| | | dh = (layer.h - layer.crop_height)/2; |
| | |
| | | } |
| | | row = i + dh; |
| | | index = col+layer.w*(row+layer.h*(c + layer.c*b)); |
| | | layer.output[count++] = state.input[index]; |
| | | layer.output[count++] = state.input[index]*scale + trans; |
| | | } |
| | | } |
| | | } |