Do not run model when skipping frames (#23949)
* Do not run model when skipping frames * also prepare wide * add logging * remove newline * small skip test * more random Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com> old-commit-hash: 374190873349fc9cb59771dbd60ca1a759ff3b8c
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@@ -129,11 +129,6 @@ void run_model(ModelState &model, VisionIpcClient &vipc_client_main, VisionIpcCl
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vec_desire[desire] = 1.0;
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}
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double mt1 = millis_since_boot();
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ModelOutput *model_output = model_eval_frame(&model, buf_main, buf_extra, model_transform_main, model_transform_extra, vec_desire);
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double mt2 = millis_since_boot();
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float model_execution_time = (mt2 - mt1) / 1000.0;
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// tracked dropped frames
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uint32_t vipc_dropped_frames = meta_main.frame_id - last_vipc_frame_id - 1;
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float frames_dropped = frame_dropped_filter.update((float)std::min(vipc_dropped_frames, 10U));
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@@ -144,10 +139,22 @@ void run_model(ModelState &model, VisionIpcClient &vipc_client_main, VisionIpcCl
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run_count++;
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float frame_drop_ratio = frames_dropped / (1 + frames_dropped);
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bool prepare_only = vipc_dropped_frames > 0;
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model_publish(pm, meta_main.frame_id, meta_extra.frame_id, frame_id, frame_drop_ratio, *model_output, meta_main.timestamp_eof, model_execution_time,
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kj::ArrayPtr<const float>(model.output.data(), model.output.size()), live_calib_seen);
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posenet_publish(pm, meta_main.frame_id, vipc_dropped_frames, *model_output, meta_main.timestamp_eof, live_calib_seen);
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if (prepare_only) {
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LOGE("skipping model eval. Dropped %d frames", vipc_dropped_frames);
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}
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double mt1 = millis_since_boot();
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ModelOutput *model_output = model_eval_frame(&model, buf_main, buf_extra, model_transform_main, model_transform_extra, vec_desire, prepare_only);
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double mt2 = millis_since_boot();
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float model_execution_time = (mt2 - mt1) / 1000.0;
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if (model_output != nullptr) {
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model_publish(pm, meta_main.frame_id, meta_extra.frame_id, frame_id, frame_drop_ratio, *model_output, meta_main.timestamp_eof, model_execution_time,
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kj::ArrayPtr<const float>(model.output.data(), model.output.size()), live_calib_seen);
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posenet_publish(pm, meta_main.frame_id, vipc_dropped_frames, *model_output, meta_main.timestamp_eof, live_calib_seen);
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}
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//printf("model process: %.2fms, from last %.2fms, vipc_frame_id %u, frame_id, %u, frame_drop %.3f\n", mt2 - mt1, mt1 - last, extra.frame_id, frame_id, frame_drop_ratio);
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last = mt1;
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@@ -164,8 +171,8 @@ int main(int argc, char **argv) {
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assert(ret == 0);
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}
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bool main_wide_camera = Hardware::TICI() ? Params().getBool("EnableWideCamera") : false;
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bool use_extra_client = !main_wide_camera;
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bool main_wide_camera = Params().getBool("EnableWideCamera");
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bool use_extra_client = !main_wide_camera; // set for single camera mode
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// cl init
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cl_device_id device_id = cl_get_device_id(CL_DEVICE_TYPE_DEFAULT);
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@@ -56,7 +56,7 @@ void model_init(ModelState* s, cl_device_id device_id, cl_context context) {
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}
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ModelOutput* model_eval_frame(ModelState* s, VisionBuf* buf, VisionBuf* wbuf,
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const mat3 &transform, const mat3 &transform_wide, float *desire_in) {
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const mat3 &transform, const mat3 &transform_wide, float *desire_in, bool prepare_only) {
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#ifdef DESIRE
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if (desire_in != NULL) {
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for (int i = 1; i < DESIRE_LEN; i++) {
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@@ -82,6 +82,11 @@ ModelOutput* model_eval_frame(ModelState* s, VisionBuf* buf, VisionBuf* wbuf,
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s->m->addExtra(net_extra_buf, s->wide_frame->buf_size);
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LOGT("Extra image added");
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}
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if (prepare_only) {
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return nullptr;
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}
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s->m->execute();
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LOGT("Execution finished");
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@@ -268,7 +268,7 @@ struct ModelState {
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void model_init(ModelState* s, cl_device_id device_id, cl_context context);
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ModelOutput *model_eval_frame(ModelState* s, VisionBuf* buf, VisionBuf* buf_wide,
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const mat3 &transform, const mat3 &transform_wide, float *desire_in);
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const mat3 &transform, const mat3 &transform_wide, float *desire_in, bool prepare_only);
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void model_free(ModelState* s);
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void model_publish(PubMaster &pm, uint32_t vipc_frame_id, uint32_t vipc_frame_id_extra, uint32_t frame_id, float frame_drop,
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const ModelOutput &net_outputs, uint64_t timestamp_eof,
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@@ -2,6 +2,7 @@
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import time
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import unittest
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import numpy as np
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import random
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import cereal.messaging as messaging
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from cereal.visionipc.visionipc_pyx import VisionIpcServer, VisionStreamType # pylint: disable=no-name-in-module, import-error
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@@ -26,7 +27,7 @@ class TestModeld(unittest.TestCase):
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self.vipc_server.start_listener()
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self.sm = messaging.SubMaster(['modelV2', 'cameraOdometry'])
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self.pm = messaging.PubMaster(['roadCameraState', 'wideRoadCameraState', 'driverCameraState', 'liveCalibration', 'lateralPlan'])
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self.pm = messaging.PubMaster(['roadCameraState', 'wideRoadCameraState', 'liveCalibration', 'lateralPlan'])
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managed_processes['modeld'].start()
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time.sleep(0.2)
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@@ -36,22 +37,32 @@ class TestModeld(unittest.TestCase):
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managed_processes['modeld'].stop()
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del self.vipc_server
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def _send_frames(self, frame_id, cams=None):
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if cams is None:
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cams = ('roadCameraState', 'wideRoadCameraState')
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cs = None
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for cam in cams:
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msg = messaging.new_message(cam)
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cs = getattr(msg, cam)
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cs.frameId = frame_id
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cs.timestampSof = int((frame_id * DT_MDL) * 1e9)
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cs.timestampEof = int(cs.timestampSof + (DT_MDL * 1e9))
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self.pm.send(msg.which(), msg)
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self.vipc_server.send(VIPC_STREAM[msg.which()], IMG_BYTES, cs.frameId,
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cs.timestampSof, cs.timestampEof)
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return cs
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def _wait(self):
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self.sm.update(5000)
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if self.sm['modelV2'].frameId != self.sm['cameraOdometry'].frameId:
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self.sm.update(1000)
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def test_modeld(self):
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for n in range(1, 500):
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for cam in ('roadCameraState', 'wideRoadCameraState'):
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msg = messaging.new_message(cam)
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cs = getattr(msg, cam)
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cs.frameId = n
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cs.timestampSof = int((n * DT_MDL) * 1e9)
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cs.timestampEof = int(cs.timestampSof + (DT_MDL * 1e9))
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self.pm.send(msg.which(), msg)
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self.vipc_server.send(VIPC_STREAM[msg.which()], IMG_BYTES, cs.frameId,
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cs.timestampSof, cs.timestampEof)
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self.sm.update(5000)
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if self.sm['modelV2'].frameId != self.sm['cameraOdometry'].frameId:
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self.sm.update(1000)
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cs = self._send_frames(n)
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self._wait()
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mdl = self.sm['modelV2']
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self.assertEqual(mdl.frameId, n)
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@@ -64,8 +75,32 @@ class TestModeld(unittest.TestCase):
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self.assertEqual(odo.frameId, n)
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self.assertEqual(odo.timestampEof, cs.timestampEof)
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def test_skipped_frames(self):
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pass
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def test_dropped_frames(self):
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"""
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modeld should only run on consecutive road frames
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"""
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frame_id = -1
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road_frames = list()
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for n in range(1, 50):
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if (random.random() < 0.1) and n > 3:
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cams = random.choice([(), ('wideRoadCameraState', )])
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self._send_frames(n, cams)
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else:
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self._send_frames(n)
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road_frames.append(n)
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self._wait()
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if len(road_frames) < 3 or road_frames[-1] - road_frames[-2] == 1:
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frame_id = road_frames[-1]
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mdl = self.sm['modelV2']
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odo = self.sm['cameraOdometry']
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self.assertEqual(mdl.frameId, frame_id)
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self.assertEqual(mdl.frameIdExtra, frame_id)
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self.assertEqual(odo.frameId, frame_id)
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if n != frame_id:
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self.assertFalse(self.sm.updated['modelV2'])
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self.assertFalse(self.sm.updated['cameraOdometry'])
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if __name__ == "__main__":
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