Files
DoorCounter/firmware/lib/cv/cv.cpp
Peter Woolery b664753596 feat: CV blob detection and centroid tracking
Add BFS flood-fill blob extraction, centroid finding, and nearest-neighbour track matching/spawning inside cv_process. Add test verifying a new blob spawns a track.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-13 14:39:23 -07:00

150 lines
4.5 KiB
C++

// firmware/lib/cv/cv.cpp
#include "cv.h"
#include <string.h>
#include <math.h>
#include <algorithm>
#include <vector>
void cv_init(CVState& state) {
state = CVState{}; // value-initialize — calls vector default ctor correctly
state.next_id = 1;
}
void cv_reset_counts(CVState& state) {
state.entries = 0;
state.exits = 0;
}
struct Point { int x, y; };
// BFS flood fill. Marks visited pixels (sets fg to 0). Returns {-1,-1} if blob < CV_MIN_BLOB_PX.
static std::pair<float,float> extract_blob(uint8_t* fg, int start_x, int start_y) {
std::vector<Point> queue;
queue.reserve(512);
queue.push_back({start_x, start_y});
fg[start_y * CV_W + start_x] = 0;
float sum_x = 0, sum_y = 0;
int count = 0;
while (!queue.empty()) {
Point p = queue.back(); queue.pop_back();
sum_x += p.x; sum_y += p.y; count++;
const int dx[] = {-1, 1, 0, 0};
const int dy[] = {0, 0, -1, 1};
for (int d = 0; d < 4; d++) {
int nx = p.x + dx[d], ny = p.y + dy[d];
if (nx < 0 || nx >= CV_W || ny < 0 || ny >= CV_H) continue;
int ni = ny * CV_W + nx;
if (!fg[ni]) continue;
fg[ni] = 0;
queue.push_back({nx, ny});
}
}
if (count < CV_MIN_BLOB_PX) return {-1.0f, -1.0f};
return {sum_x / count, sum_y / count};
}
static std::vector<std::pair<float,float>> find_centroids(const uint8_t* fg) {
std::vector<std::pair<float,float>> result;
uint8_t fg_copy[CV_PIXELS];
memcpy(fg_copy, fg, CV_PIXELS);
for (int y = 0; y < CV_H; y++) {
for (int x = 0; x < CV_W; x++) {
if (!fg_copy[y * CV_W + x]) continue;
auto c = extract_blob(fg_copy, x, y);
if (c.first >= 0) result.push_back(c);
}
}
return result;
}
static void frame_diff(const uint8_t* frame, const uint8_t* bg,
uint8_t* fg, int pixels) {
for (int i = 0; i < pixels; i++) {
int diff = (int)frame[i] - (int)bg[i];
if (diff < 0) diff = -diff;
fg[i] = (diff > CV_DIFF_THRESH) ? 1 : 0;
}
}
CVResult cv_process(CVState& state, const uint8_t* frame, uint8_t line_pct) {
CVResult result = {0, 0};
state.frame_index++;
if (!state.bg_valid) {
memcpy(state.background, frame, CV_PIXELS);
state.bg_valid = true;
return result;
}
uint8_t fg[CV_PIXELS];
frame_diff(frame, state.background, fg, CV_PIXELS);
int fg_count = 0;
for (int i = 0; i < CV_PIXELS; i++) fg_count += fg[i];
bool motion = fg_count > CV_MIN_BLOB_PX;
if (!motion) {
if (state.frame_index - state.last_motion_frame > 10) {
memcpy(state.background, frame, CV_PIXELS);
}
for (auto& t : state.tracks) t.missed++;
state.tracks.erase(
std::remove_if(state.tracks.begin(), state.tracks.end(),
[](const CVTrack& t){ return t.missed > CV_MAX_MISSED; }),
state.tracks.end());
return result;
}
state.last_motion_frame = state.frame_index;
auto centroids = find_centroids(fg);
std::vector<bool> centroid_matched(centroids.size(), false);
for (auto& track : state.tracks) {
float best_dist = CV_MAX_MOVE * CV_MAX_MOVE;
int best_idx = -1;
for (int i = 0; i < (int)centroids.size(); i++) {
if (centroid_matched[i]) continue;
float dx = centroids[i].first - track.x;
float dy = centroids[i].second - track.y;
float d2 = dx*dx + dy*dy;
if (d2 < best_dist) { best_dist = d2; best_idx = i; }
}
if (best_idx >= 0) {
centroid_matched[best_idx] = true;
track.x = centroids[best_idx].first;
track.y = centroids[best_idx].second;
track.missed = 0;
} else {
track.missed++;
}
}
state.tracks.erase(
std::remove_if(state.tracks.begin(), state.tracks.end(),
[](const CVTrack& t){ return t.missed > CV_MAX_MISSED; }),
state.tracks.end());
float line_y = (line_pct / 100.0f) * CV_H;
for (int i = 0; i < (int)centroids.size(); i++) {
if (centroid_matched[i]) continue;
CVTrack t;
t.id = state.next_id++;
t.x = centroids[i].first;
t.y = centroids[i].second;
t.above_line = (t.y < line_y);
t.missed = 0;
state.tracks.push_back(t);
}
// Line crossing check added in Task 6
return result;
}