refactored tool chain setup, able to debug and run from vscode nowHEADmaster

1 files changed, 0 insertions, 108 deletions

diff --git a/OASIS/C/src/main.c b/OASIS/C/src/main.c
deleted file mode 100644
index b84e29f..0000000
--- a/OASIS/C/src/main.c
+++ /dev/null
@@ -1,108 +0,0 @@
-#include "main.h"

-

-uint64_t seconds() {

-    struct timespec start;

-    clock_gettime(CLOCK_MONOTONIC_RAW, &start);

-    return start.tv_sec;

-}

-

-int main() {

-    uint64_t start = seconds();

-    // Allocate memory

-    char** file_names = (char**) malloc((NUM_IMAGES) * sizeof(char*));

-    for (uint8_t i=0; i<NUM_IMAGES; i++) {

-        file_names[i] = (char*) malloc(FILE_NAME_SIZE * sizeof(char));

-        // Populate file name array with file path

-        file_names[i] = (i < NUM_DNEG_IMAGES) ? strcpy(file_names[i], DNEG_FOLDER_PATH) : strcpy(file_names[i], DPOS_FOLDER_PATH);

-    }   

-    uint8_t*** data = (uint8_t***) malloc((NUM_IMAGES) * sizeof(uint8_t**));

-    for (uint8_t i=0; i<NUM_IMAGES; i++) {

-        data[i] = (uint8_t**) malloc(IMAGE_HEIGHT * sizeof(uint8_t*)); 

-        for (uint8_t j=0; j<IMAGE_HEIGHT; j++) data[i][j] = (uint8_t*)malloc(IMAGE_WIDTH * sizeof(uint8_t));

-    }

-

-    float** data_flatten = (float**) malloc((NUM_IMAGES) * sizeof(float*));

-    for (uint8_t i=0; i<NUM_IMAGES; i++) data_flatten[i] = (float*) malloc(FEATURE_VECTOR_SIZE * sizeof(float));

-

-    int32_t* labels = (int32_t*) malloc((NUM_IMAGES) * sizeof(int32_t));

-

-    uint8_t num_train = (uint8_t) (0.8 * NUM_IMAGES);

-    uint8_t num_test = NUM_IMAGES - num_train;

-

-    float** data_train = (float**) malloc (num_train * sizeof(float*));

-    float** data_test = (float**) malloc (num_test * sizeof(float*));

-

-    int32_t* labels_train = (int32_t*) malloc(num_train * sizeof(int32_t));

-    int32_t* labels_test = (int32_t*) malloc(num_test * sizeof(int32_t));

-

-    float** data_reduced_dimensions = (float**) malloc((NUM_IMAGES) * sizeof(float*));

-    for (uint32_t i=0; i<NUM_IMAGES; i++) data_reduced_dimensions[i] = (float*) malloc(NUM_COMPONENTS * sizeof(float));

-

-    float* alphas = (float*) malloc((NUM_IMAGES) * sizeof(float));

-

-    // Concatenate the file name array with the image name

-    read_dir(DNEG_FOLDER_PATH, DPOS_FOLDER_PATH, file_names);

-    printf("read\n");

-

-    // Read in an array of 2D images, then flatten

-    for (uint8_t i=0; i<NUM_IMAGES; i++) {

-        labels[i] = (i < NUM_DNEG_IMAGES) ? -1 : 1;

-        read_bmp(file_names[i], data[i]);

-        flatten_image(data[i], data_flatten[i]);

-    }

-

-    printf("flattened\n");

-

-    // PCA Transform

-    pca_covariance_method(data_flatten, NUM_IMAGES, FEATURE_VECTOR_SIZE, data_reduced_dimensions, NUM_COMPONENTS);

-    printf("pca\n");

-

-    // Shuffle data and labels

-    shuffle_data_labels(data_reduced_dimensions, labels, NUM_IMAGES);

-    printf("shuffled\n");

-

-    // Populate the training and testing data

-    for (uint8_t i=0; i<num_train; i++) {

-        data_train[i] = data_reduced_dimensions[i];

-        labels_train[i] = labels[i];

-    }

-

-    for (uint8_t i=num_train; i<NUM_IMAGES; i++) {

-        data_test[i - num_train] = data_reduced_dimensions[i];

-        labels_test[i - num_train] = labels[i];

-    }

-

-    printf("split\n");

-

-    // Train SVM

-    float bias;

-    train_svm(data_train, num_train, NUM_COMPONENTS, alphas, &bias, labels, PENALTY_PARAM);

-    printf("trained\n");

-

-    // Test SVM

-    float accuracy = test_svm(data_test, labels_test, num_test, NUM_COMPONENTS, alphas, bias);

-    printf("Accuracy: %.2f%%\n", accuracy);

- 

-    // Free memory

-    for (uint8_t i=0; i<NUM_IMAGES; i++) {

-        free(file_names[i]);

-        free(data_flatten[i]);

-        free(data_reduced_dimensions[i]);

-        for (uint8_t j=0; j<IMAGE_HEIGHT; j++) free(data[i][j]);

-        free(data[i]);

-    }

-    free(file_names);

-    free(data);

-    free(data_flatten);

-    free(data_reduced_dimensions);

-    free(labels);

-    free(labels_train);

-    free(labels_test);

-    free(data_train);

-    free(data_test);

-    free(alphas);

-

-    uint64_t end = seconds();

-    printf("Time Elapsed: %lds\n", end-start);

-    return 0;

-}
\ No newline at end of file