fixed async pipeline
This commit is contained in:
+118
-77
@@ -202,7 +202,7 @@ class Sensor:
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return True
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def compute_deformation(self, log_timing=False):
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def compute_deformation(self):
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"""
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Compute optical flow and decompose into force components.
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@@ -211,66 +211,76 @@ class Sensor:
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"""
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if self.__img is None:
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raise Exception("Warning: Get image first")
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if log_timing:
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timings = {}
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t_start = time.perf_counter()
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# Optical flow
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if log_timing: t0 = time.perf_counter()
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self.__compute_flow()
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self.__compute_hhd()
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# FPS calculation
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self._fps = 1.0 / (time.perf_counter() - self.last_log_time)
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self.last_log_time = time.perf_counter()
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return True
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def __compute_flow(self):
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if self.__img is None:
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raise Exception("Warning: Get image first")
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flow = self.__tracker.track(self.__img)
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if hasattr(flow, 'download'):
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flow = flow.download()
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if log_timing: timings['optical_flow'] = (time.perf_counter() - t0) * 1000
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self.__flow = flow
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return True
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def __compute_hhd(self):
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flow = self.__flow
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if flow is None:
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raise Exception("Warning: Compute flow first")
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# Initialize HHD solver
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if self.__hhd is None:
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self.__hhd = nHHD(grid=flow.shape[:2], spacings=(18, 18))
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# Force computation
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if log_timing: t0 = time.perf_counter()
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if self.cuda and self.CUPY_AVAILABLE:
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_, forces = self.__hhd.get_force_gpu_v2(flow)
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else:
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_, forces = self.__hhd.get_force(flow)
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self.__fnormal, self.__fshearx, self.__fsheary, self.__ftor = forces
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if log_timing: timings['hhd_decompose'] = (time.perf_counter() - t0) * 1000
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# Get components
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self.__vnormal = self.__hhd.get_normal()
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self.__vshear = self.__hhd.get_shear()
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# # Depth computation
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# if log_timing: t0 = time.perf_counter()
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# self.depth = getFilteredDensity(self.vnormal, use_cuda=self.cuda)
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# if log_timing: timings['get_density'] = (time.perf_counter() - t0) * 1000
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# Update state
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self.__flow = flow
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self.compute_deformation_valid = True
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# FPS calculation
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self._fps = 1.0 / (time.perf_counter() - self.last_log_time)
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self.last_log_time = time.perf_counter()
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if log_timing:
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timings['total'] = (time.perf_counter() - t_start) * 1000
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self._print_timings("compute_deformation", timings)
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return True
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def compute_contact(self):
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def compute_contact(self, vnormal=None):
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"""
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Compute contact information from vnormal field.
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multiple_foe=False
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if not self.compute_deformation_valid:
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raise Exception("Warning: Compute deformation first")
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Args:
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vnormal: Optional vnormal field. If None, uses self.__vnormal.
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Returns:
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dict: Contact result with centroid, contour, and depth_map
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"""
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multiple_foe = False
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# Use provided vnormal or fall back to internal state
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vnormal_to_use = vnormal if vnormal is not None else self.__vnormal
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if vnormal_to_use is None:
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raise Exception("Warning: vnormal is required for contact computation")
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if multiple_foe:
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result = self.__contact3d.compute_multiple_foe(self.__vnormal)
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result = self.__contact3d.compute_multiple_foe(vnormal_to_use)
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else:
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if self.cuda:
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result = self.__contact3d.compute_foe_gpu(self.__vnormal)
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result = self.__contact3d.compute_foe_gpu(vnormal_to_use)
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else:
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result = self.__contact3d.compute_foe(self.__vnormal)
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result = self.__contact3d.compute_foe(vnormal_to_use)
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self.__centroid = result['centroid']
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self.__centroid_found = result['centroid_found']
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@@ -279,7 +289,7 @@ class Sensor:
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self.__depth_map = result['divergence_map']
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self.compute_contact_valid = True
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return True
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return result
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# def get_depth(self, denoise_sigma=15):
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@@ -368,7 +378,7 @@ class Sensor:
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# Public API - Async Pipeline
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# =========================================================================
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def enable_async(self, queue_size=2):
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def enable_async(self, queue_size=2, compute_contact=False):
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"""
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Enable 3-stage async pipeline: Capture → Flow → HHD.
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@@ -376,25 +386,33 @@ class Sensor:
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"""
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if self._async_enabled:
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return
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self._compute_contact_enabled = compute_contact
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self._capture_queue = Queue(maxsize=queue_size)
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self._flow_queue = Queue(maxsize=queue_size)
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self._result_queue = Queue(maxsize=queue_size)
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self._contact_queue = Queue(maxsize=queue_size)
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if compute_contact:
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self._contact_queue = Queue(maxsize=queue_size)
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self._stop_event = Event()
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self._async_enabled = True
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self._capture_thread = Thread(target=self._capture_worker, daemon=True)
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self._flow_thread = Thread(target=self.__flow_worker, daemon=True)
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self._compute_thread = Thread(target=self.__hhd_worker, daemon=True)
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self._contact_thread = Thread(target=self._contact_worker, daemon=True)
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self._flow_thread = Thread(target=self._flow_worker, daemon=True)
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self._compute_thread = Thread(target=self._hhd_worker, daemon=True)
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if compute_contact:
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self._contact_thread = Thread(target=self._contact_worker, daemon=True)
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self._capture_thread.start()
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self._flow_thread.start()
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self._compute_thread.start()
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if compute_contact:
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self._contact_thread.start()
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if self.verbose:
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print("Async pipeline enabled: Capture → Flow → HHD")
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if compute_contact:
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print("Async pipeline enabled: Capture → Flow → HHD → Contact")
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else:
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print("Async pipeline enabled: Capture → Flow → HHD")
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def get_async(self, timeout=0.05):
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"""
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@@ -403,6 +421,7 @@ class Sensor:
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Returns:
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dict or None: Sensor data if available
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"""
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compute_contact = self._compute_contact_enabled
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if not self._async_enabled:
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return None
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try:
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@@ -413,8 +432,12 @@ class Sensor:
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# Sync instance variables
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# for k in ['img', 'flow', 'normal', 'shear', 'depth', 'fnormal', 'fshearx', 'fsheary', 'ftor', 'fps']:
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for k in ['img', 'flow', 'normal', 'shear', 'fnormal', 'fshearx', 'fsheary', 'ftor', 'fps']:
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setattr(self, k, result.get(k))
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if compute_contact:
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for k in ['img', 'flow', 'normal', 'shear', 'depth', 'centroid', 'centroid_found', 'contour', 'fps', 'fnormal', 'fshearx', 'fsheary', 'ftor']:
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setattr(self, k, result.get(k))
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else:
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for k in ['img', 'flow', 'normal', 'shear', 'fnormal', 'fshearx', 'fsheary', 'ftor', 'fps']:
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setattr(self, k, result.get(k))
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self.vupdate = True
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return result
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except Empty:
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@@ -564,37 +587,29 @@ class Sensor:
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q.put(item)
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def _capture_worker(self):
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"""Stage 1: Capture and preprocess frames."""
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alpha = 0.7
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"""Stage 1: Capture and preprocess frames by reusing get_img()."""
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while not self._stop_event.is_set():
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try:
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ret, frame = self.cap.read()
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if not ret:
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# Reuse get_img() to avoid code duplication
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if self.get_img() is None:
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continue
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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self.__stitcher.get_stitch_unit(gray)
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self._extract_tiles(gray)
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img = np.ascontiguousarray(self.__stitcher.stitch_rt_optimized())
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img = cv2.resize(img, tuple(self._config_resolution_stitch), interpolation=cv2.INTER_CUBIC)
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if self.__img_filtered is None:
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self.__img_filtered = img.astype(np.float32)
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else:
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self.__img_filtered = alpha * img + (1 - alpha) * self.__img_filtered
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self._queue_put(self._capture_queue, self.img_filtered.astype(np.uint8))
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# Put the processed image in the queue
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# get_img() updates self.__img, so we use that
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if self.__img is not None:
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self._queue_put(self._capture_queue, self.__img.copy())
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except Exception as e:
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if self.verbose: print(f"Capture error: {e}")
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def _flow_worker(self):
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"""Stage 2: Compute optical flow."""
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"""Stage 2: Compute optical flow by reusing __compute_flow()."""
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while not self._stop_event.is_set():
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try:
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img = self._capture_queue.get(timeout=0.1)
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flow = self.tracker.track(img)
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if hasattr(flow, 'download'):
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flow = flow.download()
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# Set __img to reuse __compute_flow()
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self.__img = img
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self.__compute_flow()
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flow = self.__flow.copy() if self.__flow is not None else None
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self._queue_put(self._flow_queue, (img, flow))
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except Empty:
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continue
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@@ -602,38 +617,64 @@ class Sensor:
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if self.verbose: print(f"Flow error: {e}")
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def _hhd_worker(self):
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"""Stage 3: HHD decomposition."""
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"""Stage 3: HHD decomposition by reusing __compute_hhd()."""
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while not self._stop_event.is_set():
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try:
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img, flow = self._flow_queue.get(timeout=0.1)
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if self.hhd is None:
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self.hhd = nHHD(grid=flow.shape[:2], spacings=(18, 18))
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if self.cuda and self.CUPY_AVAILABLE:
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_, forces = self.hhd.get_force_gpu_v2(flow)
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else:
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_, forces = self.hhd.get_force(flow)
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self._queue_put(self._result_queue, {
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# Set __flow to reuse __compute_hhd()
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self.__flow = flow
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self.__compute_hhd()
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# Get results from internal variables set by __compute_hhd()
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result = {
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'img': img, 'flow': flow,
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'normal': self.hhd.get_normal(), 'shear': self.hhd.get_shear(),
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'normal': self.__vnormal.copy() if self.__vnormal is not None else None,
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'shear': self.__vshear.copy() if self.__vshear is not None else None,
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# 'depth': getFilteredDensity(flow, use_cuda=self.cuda),
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'fnormal': forces[0], 'fshearx': forces[1],
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'fsheary': forces[2], 'ftor': forces[3],
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'fnormal': self.__fnormal, 'fshearx': self.__fshearx,
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'fsheary': self.__fsheary, 'ftor': self.__ftor,
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}
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# Always include contact fields to ensure consistent result structure
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# When compute_contact is True, contact worker will update these values
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# When compute_contact is False, they remain None
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result.update({
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'centroid': None,
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'centroid_found': False,
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'contour': None,
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'depth_map': None,
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'depth': None, # Alias for depth_map for compatibility
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})
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self._queue_put(self._result_queue, result)
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except Empty:
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continue
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except Exception as e:
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if self.verbose: print(f"HHD error: {e}")
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def _contact_worker(self):
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"""Stage 4: Contact computation."""
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"""Stage 4: Contact computation using vnormal from HHD results."""
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while not self._stop_event.is_set():
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try:
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img, flow = self._flow_queue.get(timeout=0.1)
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contact_result = self.compute_contact(flow)
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self._queue_put(self._result_queue, contact_result)
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# Get results from HHD worker which includes vnormal
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hhd_result = self._result_queue.get(timeout=0.1)
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vnormal = hhd_result.get('normal') # This is vnormal from HHD
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if vnormal is not None:
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# Compute contact using vnormal directly
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contact_result = self.compute_contact(vnormal=vnormal)
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# Add contact results to the existing HHD result
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depth_map = contact_result.get('divergence_map')
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hhd_result.update({
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'centroid': contact_result.get('centroid'),
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'centroid_found': contact_result.get('centroid_found'),
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'contour': contact_result.get('contour'),
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'depth_map': depth_map,
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'depth': depth_map, # Alias for depth_map for compatibility
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})
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# Put updated result back to queue
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self._queue_put(self._result_queue, hhd_result)
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except Empty:
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continue
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except Exception as e:
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