NM500 TEST PGM
Dependencies: NM500Lib_Socket NM500_Test_Socket SDFileSystem_Socket mbed
main.cpp@10:74e762848659, 2017-05-19 (annotated)
- Committer:
- Nasungil
- Date:
- Fri May 19 07:26:18 2017 +0000
- Revision:
- 10:74e762848659
- Parent:
- 9:7970a5638913
- Child:
- 11:6a81bde51be5
1st complete
Who changed what in which revision?
User | Revision | Line number | New contents of line |
---|---|---|---|
Nasungil | 8:c41405662e53 | 1 | #include "mbed.h" |
Nasungil | 8:c41405662e53 | 2 | #include "NM500.h" |
Nasungil | 8:c41405662e53 | 3 | |
Nasungil | 8:c41405662e53 | 4 | int data_learn(void); |
Nasungil | 10:74e762848659 | 5 | int data_classify(void); |
Nasungil | 10:74e762848659 | 6 | |
Nasungil | 10:74e762848659 | 7 | Timer t, st; |
Nasungil | 8:c41405662e53 | 8 | |
Nasungil | 8:c41405662e53 | 9 | unsigned char vector[NEURONSIZE]; |
Nasungil | 8:c41405662e53 | 10 | |
Nasungil | 8:c41405662e53 | 11 | int main() { |
Nasungil | 10:74e762848659 | 12 | //time measure start |
Nasungil | 10:74e762848659 | 13 | t.start(); |
Nasungil | 10:74e762848659 | 14 | |
Nasungil | 8:c41405662e53 | 15 | //NM500 & SD Card Init |
Nasungil | 8:c41405662e53 | 16 | if(begin() == 0) |
Nasungil | 10:74e762848659 | 17 | printf("\n\nNM500 Init\n"); |
Nasungil | 8:c41405662e53 | 18 | else |
Nasungil | 10:74e762848659 | 19 | error("Init error"); |
Nasungil | 8:c41405662e53 | 20 | |
Nasungil | 8:c41405662e53 | 21 | //minif test |
Nasungil | 10:74e762848659 | 22 | write(NM_MINIF,3); |
Nasungil | 10:74e762848659 | 23 | int minif = read(NM_MINIF); |
Nasungil | 8:c41405662e53 | 24 | |
Nasungil | 8:c41405662e53 | 25 | //maxif test |
Nasungil | 9:7970a5638913 | 26 | write(NM_MAXIF,10000); |
Nasungil | 10:74e762848659 | 27 | int maxif = read(NM_MAXIF); |
Nasungil | 8:c41405662e53 | 28 | |
Nasungil | 8:c41405662e53 | 29 | //GCR test |
Nasungil | 9:7970a5638913 | 30 | write(NM_GCR,5); |
Nasungil | 10:74e762848659 | 31 | int gcr = read(NM_GCR); |
Nasungil | 10:74e762848659 | 32 | //printf("gcr : %d",gcr); |
Nasungil | 10:74e762848659 | 33 | |
Nasungil | 10:74e762848659 | 34 | st.start(); |
Nasungil | 8:c41405662e53 | 35 | //Neuron learn |
Nasungil | 10:74e762848659 | 36 | int learn = data_learn(); |
Nasungil | 10:74e762848659 | 37 | st.stop(); |
Nasungil | 10:74e762848659 | 38 | printf("Learn complete\n"); |
Nasungil | 10:74e762848659 | 39 | printf("Learn Time : %d ms\n",st.read_ms()); |
Nasungil | 8:c41405662e53 | 40 | |
Nasungil | 9:7970a5638913 | 41 | //data save |
Nasungil | 10:74e762848659 | 42 | st.start(); |
Nasungil | 9:7970a5638913 | 43 | int save = NeuronToSD(); |
Nasungil | 10:74e762848659 | 44 | st.stop(); |
Nasungil | 10:74e762848659 | 45 | printf("Save Complete\n"); |
Nasungil | 10:74e762848659 | 46 | printf("Save Time : %d ms\n",st.read_ms()); |
Nasungil | 9:7970a5638913 | 47 | |
Nasungil | 10:74e762848659 | 48 | //forget |
Nasungil | 9:7970a5638913 | 49 | forget(); |
Nasungil | 9:7970a5638913 | 50 | int forget = NCOUNT(); |
Nasungil | 10:74e762848659 | 51 | |
Nasungil | 10:74e762848659 | 52 | //restore |
Nasungil | 10:74e762848659 | 53 | st.start(); |
Nasungil | 10:74e762848659 | 54 | int restore = SDToNeurons(); |
Nasungil | 10:74e762848659 | 55 | st.stop(); |
Nasungil | 10:74e762848659 | 56 | printf("Restore Complete\n"); |
Nasungil | 10:74e762848659 | 57 | printf("Restore Time : %d ms\n",st.read_ms()); |
Nasungil | 10:74e762848659 | 58 | |
Nasungil | 10:74e762848659 | 59 | setKNN(); |
Nasungil | 10:74e762848659 | 60 | //classify |
Nasungil | 10:74e762848659 | 61 | st.start(); |
Nasungil | 10:74e762848659 | 62 | int classify = data_classify(); |
Nasungil | 10:74e762848659 | 63 | st.stop(); |
Nasungil | 10:74e762848659 | 64 | printf("Classify Complete\n"); |
Nasungil | 10:74e762848659 | 65 | printf("classify Time : %d ms\n",st.read_ms()); |
Nasungil | 10:74e762848659 | 66 | |
Nasungil | 9:7970a5638913 | 67 | |
Nasungil | 10:74e762848659 | 68 | printf("\n****************Tset Result****************\n"); |
Nasungil | 10:74e762848659 | 69 | //minif result |
Nasungil | 10:74e762848659 | 70 | if(minif == 3) |
Nasungil | 10:74e762848659 | 71 | printf("MINIF # PASS\n"); |
Nasungil | 10:74e762848659 | 72 | else |
Nasungil | 10:74e762848659 | 73 | printf("MINIF # FAIL\n"); |
Nasungil | 10:74e762848659 | 74 | |
Nasungil | 10:74e762848659 | 75 | //maxif result |
Nasungil | 10:74e762848659 | 76 | if(maxif == 10000) |
Nasungil | 10:74e762848659 | 77 | printf("MAXIF # PASS\n"); |
Nasungil | 10:74e762848659 | 78 | else |
Nasungil | 10:74e762848659 | 79 | printf("MAXIF # FAIL\n"); |
Nasungil | 10:74e762848659 | 80 | |
Nasungil | 10:74e762848659 | 81 | //GCR result |
Nasungil | 10:74e762848659 | 82 | if(gcr == 5) |
Nasungil | 10:74e762848659 | 83 | printf("GCR # PASS\n"); |
Nasungil | 10:74e762848659 | 84 | else |
Nasungil | 10:74e762848659 | 85 | printf("GCR # FAIL\n"); |
Nasungil | 10:74e762848659 | 86 | |
Nasungil | 10:74e762848659 | 87 | |
Nasungil | 10:74e762848659 | 88 | //forget result |
Nasungil | 10:74e762848659 | 89 | if(forget == 0) |
Nasungil | 10:74e762848659 | 90 | printf("FORGET # PASS\n"); |
Nasungil | 10:74e762848659 | 91 | else |
Nasungil | 10:74e762848659 | 92 | printf("FORGET # FAIL\n"); |
Nasungil | 10:74e762848659 | 93 | |
Nasungil | 10:74e762848659 | 94 | //learn result |
Nasungil | 10:74e762848659 | 95 | if(learn == MAXNEURONS){ |
Nasungil | 10:74e762848659 | 96 | printf("Daisy Chain # PASS\n"); |
Nasungil | 10:74e762848659 | 97 | printf("Learn # PASS\n"); |
Nasungil | 10:74e762848659 | 98 | } |
Nasungil | 10:74e762848659 | 99 | |
Nasungil | 10:74e762848659 | 100 | else if(learn == 2){ |
Nasungil | 10:74e762848659 | 101 | printf("Daisy Chain # FAIL\n"); |
Nasungil | 10:74e762848659 | 102 | printf("Learn # PASS\n"); |
Nasungil | 10:74e762848659 | 103 | } |
Nasungil | 10:74e762848659 | 104 | else if(learn == 0){ |
Nasungil | 10:74e762848659 | 105 | printf("Daisy Chain # unknown\n"); |
Nasungil | 10:74e762848659 | 106 | printf("Learn # FAIL\n"); |
Nasungil | 10:74e762848659 | 107 | } |
Nasungil | 10:74e762848659 | 108 | |
Nasungil | 10:74e762848659 | 109 | //classify result |
Nasungil | 10:74e762848659 | 110 | if(classify == 1){ |
Nasungil | 10:74e762848659 | 111 | printf("Classify # PASS\n"); |
Nasungil | 10:74e762848659 | 112 | printf("Distance # PASS\n"); |
Nasungil | 10:74e762848659 | 113 | } |
Nasungil | 10:74e762848659 | 114 | else if(classify == 2){ |
Nasungil | 10:74e762848659 | 115 | printf("Classify # PASS\n"); |
Nasungil | 10:74e762848659 | 116 | printf("Distance # FAIL\n"); |
Nasungil | 10:74e762848659 | 117 | } |
Nasungil | 10:74e762848659 | 118 | else if(classify == 0){ |
Nasungil | 10:74e762848659 | 119 | printf("Classify # FAIL\n"); |
Nasungil | 10:74e762848659 | 120 | printf("Distance # PASS\n"); |
Nasungil | 10:74e762848659 | 121 | } |
Nasungil | 10:74e762848659 | 122 | |
Nasungil | 10:74e762848659 | 123 | printf("POWER SAVE ON\n"); |
Nasungil | 10:74e762848659 | 124 | write(NM_POWER_SAVE,0); |
Nasungil | 10:74e762848659 | 125 | t.stop(); |
Nasungil | 10:74e762848659 | 126 | printf("Total Time : %d ms\n",t.read_ms()); |
Nasungil | 10:74e762848659 | 127 | |
Nasungil | 10:74e762848659 | 128 | |
Nasungil | 8:c41405662e53 | 129 | |
Nasungil | 8:c41405662e53 | 130 | |
Nasungil | 8:c41405662e53 | 131 | } |
Nasungil | 8:c41405662e53 | 132 | int data_learn(void) |
Nasungil | 8:c41405662e53 | 133 | { |
Nasungil | 8:c41405662e53 | 134 | int ncnt=0,old_ncnt=0; //ncount, old ncount |
Nasungil | 8:c41405662e53 | 135 | |
Nasungil | 8:c41405662e53 | 136 | //number of neuron 576*2 |
Nasungil | 8:c41405662e53 | 137 | for(int i=1;i<=MAXNEURONS;i++){ |
Nasungil | 8:c41405662e53 | 138 | // ex |
Nasungil | 8:c41405662e53 | 139 | // 1. 0 1 0 1.... |
Nasungil | 8:c41405662e53 | 140 | // 2. 0 2 0 2.... |
Nasungil | 8:c41405662e53 | 141 | // 3. 0 3 0 3.... |
Nasungil | 8:c41405662e53 | 142 | // ..... |
Nasungil | 8:c41405662e53 | 143 | // 255. 0 255 0 255.... |
Nasungil | 8:c41405662e53 | 144 | // 256. 1 0 1 0.... |
Nasungil | 8:c41405662e53 | 145 | // 257. 1 1 1 1.... |
Nasungil | 8:c41405662e53 | 146 | for(int j =0;j<NEURONSIZE;j=j+2){ |
Nasungil | 8:c41405662e53 | 147 | vector[j] = i>>8; //upper bit save |
Nasungil | 8:c41405662e53 | 148 | vector[j+1] = i; //low bit save |
Nasungil | 8:c41405662e53 | 149 | } |
Nasungil | 8:c41405662e53 | 150 | //data learn |
Nasungil | 8:c41405662e53 | 151 | ncnt = learn(vector, NEURONSIZE, i); //input : data, neuronsize, cat, return : ncount |
Nasungil | 10:74e762848659 | 152 | //printf("ncount # %d\n",ncnt); |
Nasungil | 8:c41405662e53 | 153 | |
Nasungil | 8:c41405662e53 | 154 | if(ncnt == old_ncnt) //ncount가 변화가 없으면 |
Nasungil | 8:c41405662e53 | 155 | return 0; //학습 실패 or ncount 레지스터 불량 |
Nasungil | 8:c41405662e53 | 156 | else //ncount가 증가하였을 경우 |
Nasungil | 8:c41405662e53 | 157 | old_ncnt = ncnt; //old ncount 갱신 |
Nasungil | 8:c41405662e53 | 158 | |
Nasungil | 8:c41405662e53 | 159 | |
Nasungil | 8:c41405662e53 | 160 | //test display |
Nasungil | 10:74e762848659 | 161 | // printf("vector : "); |
Nasungil | 10:74e762848659 | 162 | // for(int j=0;j<NEURONSIZE;j++) |
Nasungil | 10:74e762848659 | 163 | // printf(" %d,",vector[j]); |
Nasungil | 10:74e762848659 | 164 | // printf(" cat : %d\n", i); |
Nasungil | 8:c41405662e53 | 165 | } |
Nasungil | 8:c41405662e53 | 166 | //학습 완료 후 ncount가 MAXNEURONS보다 작을 경우 |
Nasungil | 8:c41405662e53 | 167 | if(ncnt < MAXNEURONS) |
Nasungil | 8:c41405662e53 | 168 | return 2; //데이지체인 불량 |
Nasungil | 8:c41405662e53 | 169 | return ncnt; //정상 출력 |
Nasungil | 8:c41405662e53 | 170 | } |
Nasungil | 8:c41405662e53 | 171 | |
Nasungil | 10:74e762848659 | 172 | int data_classify(void) |
Nasungil | 10:74e762848659 | 173 | { |
Nasungil | 10:74e762848659 | 174 | int distance, cat, nid; |
Nasungil | 10:74e762848659 | 175 | //number of neuron 1156 |
Nasungil | 10:74e762848659 | 176 | for(int i=1;i<=MAXNEURONS;i++){ |
Nasungil | 10:74e762848659 | 177 | //test 벡터 생성 |
Nasungil | 10:74e762848659 | 178 | for(int j =0;j<NEURONSIZE;j=j+2){ //size of neuron 256 |
Nasungil | 10:74e762848659 | 179 | vector[j] = i>>8; //upper bit save |
Nasungil | 10:74e762848659 | 180 | vector[j+1] = i; //low bit save |
Nasungil | 10:74e762848659 | 181 | } |
Nasungil | 10:74e762848659 | 182 | //분류(knn모드, k=2) |
Nasungil | 10:74e762848659 | 183 | //input : data, data length output : distance, category, Neuron ID return 인식된 데이터 갯수 |
Nasungil | 10:74e762848659 | 184 | int nsr = classify(vector, NEURONSIZE, &distance, &cat, &nid); |
Nasungil | 10:74e762848659 | 185 | if(i!=cat) |
Nasungil | 10:74e762848659 | 186 | return 0; //분류 실패 |
Nasungil | 10:74e762848659 | 187 | if(distance != 0) |
Nasungil | 10:74e762848659 | 188 | return 2; //distance error |
Nasungil | 10:74e762848659 | 189 | // |
Nasungil | 10:74e762848659 | 190 | // printf(" neuron# %d \t", nid); |
Nasungil | 10:74e762848659 | 191 | // printf(" distance = %d,\t ", distance); |
Nasungil | 10:74e762848659 | 192 | // printf(" cat = %d\n", cat); |
Nasungil | 10:74e762848659 | 193 | } |
Nasungil | 10:74e762848659 | 194 | return 1; //정상 분류 |
Nasungil | 10:74e762848659 | 195 | } |
Nasungil | 8:c41405662e53 | 196 |