generate png map.c

sqlite3* db = 0;
int h[0x10000];
float kmean[0x100];
uint16_t tbl[0x10000];
int i, j, k;
for (i = 0; i < 0x10000; i++)
	tbl[i] = i;
float lut[0x10000];
ccv_half_precision_to_float(tbl, lut, 0x10000);
ccv_convnet_t* convnet = ccv_convnet_read(0, argv[1]);
if (SQLITE_OK == sqlite3_open(argv[1], &db))
{
	sqlite3_stmt* layer_data_stmt = 0;
	const char layer_data_qs[] =
		"SELECT layer, weight, bias, half_precision FROM layer_data;";
	if (SQLITE_OK == sqlite3_prepare_v2(db, layer_data_qs, sizeof(layer_data_qs), &layer_data_stmt, 0))
	{
		while (sqlite3_step(layer_data_stmt) == SQLITE_ROW)
		{
			ccv_convnet_layer_t *layer = convnet->layers + sqlite3_column_int(layer_data_stmt, 0);
			printf("layer %d\n", sqlite3_column_int(layer_data_stmt, 0));
			if (sqlite3_column_int(layer_data_stmt, 0) < 10)
				continue;
			char filename[256];
			sprintf(filename, "lut-layer-%d.txt", sqlite3_column_int(layer_data_stmt, 0));
			FILE *r = fopen(filename, "r");
			for (i = 0; i < 0x100; i++)
			{
				union {
					int i;
					float f;
				} v;
				fscanf(r, "%d %d", &j, &v.i);
				kmean[i] = v.f;
			}
			fclose(r);
			for (i = 0; i < 0x100; i++)
			{
				k = i;
				for (j = i + 1; j < 0x100; j++)
					if (kmean[j] < kmean[k])
						k = j;
				float t = kmean[k];
				kmean[k] = kmean[i];
				kmean[i] = t;
			}
			memset(h, 0, sizeof(h));
			const uint16_t* w = sqlite3_column_blob(layer_data_stmt, 1);
			ccv_dense_matrix_t* pngw = ccv_dense_matrix_new(layer->net.full_connect.count, layer->input.node.count, CCV_C1 | CCV_8U, 0, 0);
			for (i = 0; i < pngw->rows; i++)
				for (j = 0; j < pngw->cols; j++)
				{
					int t = 0;
					for (k = 1; k < 0x100; k++)
						if (fabs(kmean[k] - lut[w[j + i * pngw->cols]]) < fabs(kmean[t] - lut[w[j + i * pngw->cols]]))
							t = k;
					pngw->data.u8[i * pngw->cols + j] = t;
				}
			sprintf(filename, "layer-%d.png", sqlite3_column_int(layer_data_stmt, 0));
			ccv_write(pngw, filename, 0, CCV_IO_PNG_FILE, 0);
		}
	}
}