finish domosaic2 simulate

This commit is contained in:
SikongJueluo
2024-05-14 21:00:19 +08:00
parent ee812630dd
commit 507f116560
11 changed files with 88 additions and 524348 deletions

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@@ -91,11 +91,6 @@ run:
@mkdir -p logs
obj_dir/V$(TOP_MODULE) +trace
@echo
@echo "-- COVERAGE ----------------"
@rm -rf logs/annotated
$(VERILATOR_COVERAGE) --annotate logs/annotated logs/coverage.dat
@echo
@echo "-- DONE --------------------"
@echo "To see waveforms, open vlt_dump.vcd in a waveform viewer"

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@@ -39,7 +39,9 @@ int sc_main(int argc, char* argv[]) {
// Read image
uint8_t buf[IM_SIZE * 2] = {0};
in_image.read((char*)buf, IM_SIZE);
in_image.read((char*)buf, IM_SIZE * 2);
// for (uint32_t i = 0; i < IM_SIZE * 2; i++)
// printf("0x%02x\t", buf[i]);
in_image.close();
// Reshape data
uint16_t image[IM_HEIGHT][IM_WIDTH] = {0};
@@ -47,6 +49,7 @@ int sc_main(int argc, char* argv[]) {
for (int y = 0; y < IM_HEIGHT; y++) {
for (int x = 0; x < IM_WIDTH; x++) {
image[y][x] = (uint16_t)buf[i] + ((uint16_t)buf[i + 1] << 8);
i++;
}
}
@@ -83,7 +86,6 @@ int sc_main(int argc, char* argv[]) {
sc_signal<bool> in_en;
sc_signal<bool> in_que;
sc_signal<bool> in_line;
sc_signal<uint32_t> data_in[3];
sc_signal<bool> out_en;
@@ -99,7 +101,6 @@ int sc_main(int argc, char* argv[]) {
demo->reset(reset);
demo->data_en(in_en);
demo->data_que(in_que);
demo->data_line(in_line);
demo->data_in[0](data_in[0]);
demo->data_in[1](data_in[1]);
demo->data_in[2](data_in[2]);
@@ -125,8 +126,11 @@ int sc_main(int argc, char* argv[]) {
}
// Simulate until $finish
bool flag_posedge = 0;
bool clk_last = 0, clk_now = 0;
uint16_t pos_x = 0, pos_y = 0;
uint32_t out[IM_SIZE] = {0}, out_head = 0;
uint16_t out[IM_SIZE] = {0};
uint32_t out_head = 0;
while (!Verilated::gotFinish()) {
// Flush the wave files each cycle so we can immediately see the output
// Don't do this in "real" programs, do it in an abort() handler instead
@@ -139,11 +143,23 @@ int sc_main(int argc, char* argv[]) {
reset.write(0); // Deassert reset
}
// Clock posedge generatre
clk_now = clk.read();
if (!clk_last && clk_now)
flag_posedge = 1;
clk_last = clk_now;
// Send image data and Read RGB image data
if (sc_time_stamp() > sc_time(10, SC_NS) && clk.posedge()) {
if (sc_time_stamp() > sc_time(10, SC_NS) && flag_posedge) {
flag_posedge = 0;
// Send image data to demosaic
if (in_que.read() && pos_y < IM_HEIGHT) {
if (in_que.read() && pos_y < IM_HEIGHT - 2) {
in_en.write(1);
printf("x=%3d, y=%3d, data=0x%04x\t", pos_x, pos_y, image[pos_y + 0][pos_x]);
printf("x=%3d, y=%3d, data=0x%04x\t", pos_x, pos_y, image[pos_y + 1][pos_x]);
printf("x=%3d, y=%3d, data=0x%04x\n", pos_x, pos_y, image[pos_y + 2][pos_x]);
data_in[0].write(image[pos_y + 0][pos_x++]);
data_in[1].write(image[pos_y + 1][pos_x++]);
data_in[2].write(image[pos_y + 2][pos_x++]);
@@ -164,6 +180,8 @@ int sc_main(int argc, char* argv[]) {
}
}
if (sc_time_stamp() > sc_time(2600, SC_US))
break;
// Simulate 1ns
sc_start(1, SC_NS);
}
@@ -177,11 +195,6 @@ int sc_main(int argc, char* argv[]) {
tfp = nullptr;
}
// Coverage analysis (calling write only after the test is known to pass)
#if VM_COVERAGE
Verilated::mkdir("logs");
VerilatedCov::write("logs/coverage.dat");
#endif
// Save final output image
for (uint32_t i = 0; i < IM_SIZE; i++) {
buf[i * 2] = (out[i] & 0xffff0000) >> 16;

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@@ -5,15 +5,19 @@ cut_width = 512
cut_height = 256
if __name__ == '__main__':
txt = open('./test.dat', 'w')
# txt = open('./test.dat', 'w')
binfile = open('./test.bin', "wb")
image = imageio.imread_v2('./im.tif')
print(image.shape)
cut = image[0:cut_height, 0:cut_width]
print(cut.shape)
cut = np.array(cut, dtype=np.int16)
for data in list(cut.flatten()):
txt.write('%02x\n%02x\n' % (data & 0x00ff, (data & 0xff00) >> 4))
txt.close()
# txt.write('%02x\n%02x\n' % (data & 0x00ff, (data & 0xff00) >> 4))
binfile.write(data)
# txt.close()
binfile.close()
imageio.imsave('./test.tif', cut)
# imageio.imsave('./test.tif', cut)

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@@ -1,10 +1,10 @@
import imageio
import numpy as np
im_width = 1936
im_height = 1088
im_width = 512
im_height = 256
if __name__ == '__main__':
raw = np.fromfile('./test.raw', dtype=np.int8)
raw = np.fromfile('./out.bin', dtype=np.int16)
image = raw.reshape((im_height, im_width))
imageio.imsave("./test.tif", image)
imageio.imsave("./out.png", image)

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