From 5a47c46b39475fc3581b9819f488b977ea1beca3 Mon Sep 17 00:00:00 2001
From: Edmond Yoo <hj3yoo@uwaterloo.ca>
Date: Sun, 16 Sep 2018 03:11:04 +0000
Subject: [PATCH] Moving files from MTGCardDetector

---
 src/im2col.c |  179 +++++++----------------------------------------------------
 1 files changed, 21 insertions(+), 158 deletions(-)

diff --git a/src/im2col.c b/src/im2col.c
index 6ed9d89..69ec98a 100644
--- a/src/im2col.c
+++ b/src/im2col.c
@@ -1,7 +1,6 @@
-#include "mini_blas.h"
+#include "im2col.h"
 #include <stdio.h>
-
-inline float im2col_get_pixel(float *im, int height, int width, int channels,
+float im2col_get_pixel(float *im, int height, int width, int channels,
                         int row, int col, int channel, int pad)
 {
     row -= pad;
@@ -9,169 +8,33 @@
 
     if (row < 0 || col < 0 ||
         row >= height || col >= width) return 0;
-    return im[col + width*(row + channel*height)];
+    return im[col + width*(row + height*channel)];
 }
 
 //From Berkeley Vision's Caffe!
 //https://github.com/BVLC/caffe/blob/master/LICENSE
-void im2col_cpu_batch(float* data_im,
-    const int batch, const int channels, const int height, const int width,
-    const int ksize, const int stride, int pad, float* data_col) 
+void im2col_cpu(float* data_im,
+     int channels,  int height,  int width,
+     int ksize,  int stride, int pad, float* data_col) 
 {
-    int c,h,w,b;
-    int height_col = (height - ksize) / stride + 1;
-    int width_col = (width - ksize) / stride + 1;
-    if (pad){
-        height_col = 1 + (height-1) / stride;
-        width_col = 1 + (width-1) / stride;
-        pad = ksize/2;
-    }
+    int c,h,w;
+    int height_col = (height + 2*pad - ksize) / stride + 1;
+    int width_col = (width + 2*pad - ksize) / stride + 1;
+
     int channels_col = channels * ksize * ksize;
-    int im_size = height*width*channels;
-    //int col_size = height_col*width_col*channels_col;
-    for (b = 0; b < batch; ++b) {
-        for (c = 0; c < channels_col; ++c) {
-            int w_offset = c % ksize;
-            int h_offset = (c / ksize) % ksize;
-            int c_im = c / ksize / ksize;
-            for (h = 0; h < height_col; ++h) {
-                for (w = 0; w < width_col; ++w) {
-                    int im_row = h_offset + h * stride;
-                    int im_col = w_offset + w * stride;
-                    int col_index = (c * height_col + h) * width_col + w + (batch-1) * c * height_col*width_col;
-                    data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
-                                        im_row, im_col, c_im, pad);
-                }
+    for (c = 0; c < channels_col; ++c) {
+        int w_offset = c % ksize;
+        int h_offset = (c / ksize) % ksize;
+        int c_im = c / ksize / ksize;
+        for (h = 0; h < height_col; ++h) {
+            for (w = 0; w < width_col; ++w) {
+                int im_row = h_offset + h * stride;
+                int im_col = w_offset + w * stride;
+                int col_index = (c * height_col + h) * width_col + w;
+                data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
+                        im_row, im_col, c_im, pad);
             }
         }
-        data_im += im_size;
-        data_col+= channels_col;
     }
 }
 
-//From Berkeley Vision's Caffe!
-//https://github.com/BVLC/caffe/blob/master/LICENSE
-void im2col_cpu(float* data_im, const int batch,
-    const int channels, const int height, const int width,
-    const int ksize, const int stride, int pad, float* data_col) 
-{
-    int c,h,w,b;
-    int height_col = (height - ksize) / stride + 1;
-    int width_col = (width - ksize) / stride + 1;
-    if (pad){
-        height_col = 1 + (height-1) / stride;
-        width_col = 1 + (width-1) / stride;
-        pad = ksize/2;
-    }
-    int channels_col = channels * ksize * ksize;
-    int im_size = height*width*channels;
-    int col_size = height_col*width_col*channels_col;
-    for (b = 0; b < batch; ++b) {
-        for (c = 0; c < channels_col; ++c) {
-            int w_offset = c % ksize;
-            int h_offset = (c / ksize) % ksize;
-            int c_im = c / ksize / ksize;
-            for (h = 0; h < height_col; ++h) {
-                for (w = 0; w < width_col; ++w) {
-                    int im_row = h_offset + h * stride;
-                    int im_col = w_offset + w * stride;
-                    int col_index = (c * height_col + h) * width_col + w;
-                    data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
-                            im_row, im_col, c_im, pad);
-                }
-            }
-        }
-        data_im += im_size;
-        data_col += col_size;
-    }
-}
-
-
-#ifdef GPU
-
-#include "opencl.h"
-#include <math.h>
-
-cl_kernel get_im2col_kernel()
-{
-    static int init = 0;
-    static cl_kernel im2col_kernel;
-    if(!init){
-        im2col_kernel = get_kernel("src/im2col.cl", "im2col", 0);
-        init = 1;
-    }
-    return im2col_kernel;
-}
-
-
-void im2col_ongpu(cl_mem data_im, const int batch,
-        const int channels, const int height, const int width,
-        const int ksize, const int stride, cl_mem data_col) 
-{
-    cl_setup();
-    cl_kernel im2col_kernel = get_im2col_kernel();
-    cl_command_queue queue = cl.queue;
-
-    cl_uint i = 0;
-    cl.error = clSetKernelArg(im2col_kernel, i++, sizeof(data_im), (void*) &data_im);
-    cl.error = clSetKernelArg(im2col_kernel, i++, sizeof(batch), (void*) &batch);
-    cl.error = clSetKernelArg(im2col_kernel, i++, sizeof(channels), (void*) &channels);
-    cl.error = clSetKernelArg(im2col_kernel, i++, sizeof(height), (void*) &height);
-    cl.error = clSetKernelArg(im2col_kernel, i++, sizeof(width), (void*) &width);
-    cl.error = clSetKernelArg(im2col_kernel, i++, sizeof(ksize), (void*) &ksize);
-    cl.error = clSetKernelArg(im2col_kernel, i++, sizeof(stride), (void*) &stride);
-    cl.error = clSetKernelArg(im2col_kernel, i++, sizeof(data_col), (void*) &data_col);
-    check_error(cl);
-
-    int height_col = (height - ksize) / stride + 1;
-    int width_col = (width - ksize) / stride + 1;
-    int channels_col = channels * ksize * ksize;
-
-    size_t global_size[2];
-    size_t local_size[2];
-    global_size[0] = batch;
-    global_size[1] = channels_col;
-    local_size[0] = height_col;
-    local_size[1] = width_col;
-
-    clEnqueueNDRangeKernel(queue, im2col_kernel, 2, 0,
-            global_size, local_size, 0, 0, 0);
-    check_error(cl);
-}
-
-void im2col_gpu(float *data_im,
-        const int batch, const int channels, const int height, const int width,
-        const int ksize, const int stride,
-        float *data_col) 
-{
-    cl_setup();
-    cl_context context = cl.context;
-    cl_command_queue queue = cl.queue;
-
-    size_t size = sizeof(float)*(channels*height*width*batch);
-    cl_mem im_gpu = clCreateBuffer(context,
-            CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR,
-            size, data_im, &cl.error);
-    check_error(cl);
-
-    int height_col = (height - ksize) / stride + 1;
-    int width_col = (width - ksize) / stride + 1;
-    int channels_col = channels * ksize * ksize;
-
-    size = sizeof(float)*(height_col*width_col*channels_col*batch);
-    cl_mem col_gpu = clCreateBuffer(context,
-            CL_MEM_WRITE_ONLY|CL_MEM_COPY_HOST_PTR,
-            size, data_col, &cl.error);
-    check_error(cl);
-
-    im2col_ongpu(im_gpu, batch, channels, height, width,
-            ksize, stride, col_gpu);
-
-    clEnqueueReadBuffer(queue, col_gpu, CL_TRUE, 0, size, data_col, 0, 0, 0);
-    check_error(cl);
-
-    clReleaseMemObject(col_gpu);
-    clReleaseMemObject(im_gpu);
-}
-
-#endif

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