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Merge pull request #12 from Rouast-Labs/batch-burst
Distinguish between batch and burst mode; Add real-time webcam example script
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,179 @@ | ||
| import argparse | ||
| import concurrent.futures | ||
| import cv2 | ||
| import numpy as np | ||
| from prpy.constants import SECONDS_PER_MINUTE | ||
| from prpy.numpy.face import get_upper_body_roi_from_det | ||
| from prpy.numpy.signal import estimate_freq | ||
| import sys | ||
| import threading | ||
| import time | ||
| import warnings | ||
|
|
||
| sys.path.append('../vitallens-python') | ||
| from vitallens import VitalLens, Mode, Method | ||
| from vitallens.buffer import SignalBuffer, MultiSignalBuffer | ||
| from vitallens.constants import API_MIN_FRAMES | ||
| from vitallens.constants import CALC_HR_MIN, CALC_HR_MAX, CALC_RR_MIN, CALC_RR_MAX | ||
|
|
||
| def draw_roi(frame, roi): | ||
| roi = np.asarray(roi).astype(np.int32) | ||
| frame = cv2.rectangle(frame, (roi[0], roi[1]), (roi[2], roi[3]), (0, 255, 0), 1) | ||
|
|
||
| def draw_signal(frame, roi, sig, sig_name, sig_conf_name, draw_area_tl_x, draw_area_tl_y, color): | ||
| def _draw(frame, vals, display_height, display_width, min_val, max_val, color, thickness): | ||
| height_mult = display_height/(max_val - min_val) | ||
| width_mult = display_width/(vals.shape[0] - 1) | ||
| p1 = (int(draw_area_tl_x), int(draw_area_tl_y + (max_val - vals[0]) * height_mult)) | ||
| for i, s in zip(range(1, len(vals)), vals[1:]): | ||
| p2 = (int(draw_area_tl_x + i * width_mult), int(draw_area_tl_y + (max_val - s) * height_mult)) | ||
| frame = cv2.line(frame, p1, p2, color, thickness) | ||
| p1 = p2 | ||
| # Derive dims from roi | ||
| display_height = (roi[3] - roi[1]) / 2.0 | ||
| display_width = (roi[2] - roi[0]) * 0.8 | ||
| # Draw signal | ||
| if sig_name in sig: | ||
| vals = np.asarray(sig[sig_name]) | ||
| min_val = np.min(vals) | ||
| max_val = np.max(vals) | ||
| if max_val - min_val == 0: | ||
| return frame | ||
| _draw(frame=frame, vals=vals, display_height=display_height, display_width=display_width, | ||
| min_val=min_val, max_val=max_val, color=color, thickness=2) | ||
| # Draw confidence | ||
| if sig_conf_name in sig: | ||
| vals = np.asarray(sig[sig_conf_name]) | ||
| _draw(frame=frame, vals=vals, display_height=display_height, display_width=display_width, | ||
| min_val=0., max_val=1., color=color, thickness=1) | ||
|
|
||
| def draw_fps(frame, fps, text, draw_area_bl_x, draw_area_bl_y): | ||
| cv2.putText(frame, text='{}: {:.1f}'.format(text, fps), org=(draw_area_bl_x, draw_area_bl_y), | ||
| fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=0.6, color=(0,255,0), thickness=1) | ||
|
|
||
| def draw_vital(frame, sig, text, sig_name, fps, color, draw_area_bl_x, draw_area_bl_y): | ||
| if sig_name in sig: | ||
| f_range = (CALC_HR_MIN/SECONDS_PER_MINUTE, CALC_HR_MAX/SECONDS_PER_MINUTE) if 'heart' in sig_name else (CALC_RR_MIN/SECONDS_PER_MINUTE, CALC_RR_MAX/SECONDS_PER_MINUTE) | ||
| val = estimate_freq(x=sig[sig_name], f_s=fps, f_res=0.1/SECONDS_PER_MINUTE, f_range=f_range, method='periodogram') * SECONDS_PER_MINUTE | ||
| cv2.putText(frame, text='{}: {:.1f}'.format(text, val), org=(draw_area_bl_x, draw_area_bl_y), | ||
| fontFace=cv2.FONT_HERSHEY_SIMPLEX, fontScale=0.6, color=color, thickness=1) | ||
|
|
||
| class VitalLensRunnable: | ||
| def __init__(self, method, api_key): | ||
| self.active = threading.Event() | ||
| self.result = [] | ||
| self.vl = VitalLens(method=method, | ||
| mode=Mode.BURST, | ||
| api_key=api_key, | ||
| detect_faces=True, | ||
| estimate_running_vitals=True, | ||
| export_to_json=False) | ||
| def __call__(self, inputs, fps): | ||
| self.active.set() | ||
| self.result = self.vl(np.asarray(inputs), fps=fps) | ||
| self.active.clear() | ||
|
|
||
| def run(args): | ||
| cap = cv2.VideoCapture(0) | ||
| executor = concurrent.futures.ThreadPoolExecutor(max_workers=1) | ||
| vl = VitalLensRunnable(method=args.method, api_key=args.api_key) | ||
| signal_buffer = MultiSignalBuffer(size=120, ndim=1, ignore_k=['face']) | ||
| fps_buffer = SignalBuffer(size=120, ndim=1, pad_val=np.nan) | ||
| frame_buffer = [] | ||
| # Sample frames from cv2 video stream attempting to achieve this framerate | ||
| target_fps = 30. | ||
| # Check if the webcam is opened correctly | ||
| if not cap.isOpened(): | ||
| raise IOError("Cannot open webcam") | ||
| # Read first frame to get dims | ||
| _, frame = cap.read() | ||
| height, width, _ = frame.shape | ||
| roi = None | ||
| i = 0 | ||
| t, p_t = time.time(), time.time() | ||
| fps, p_fps = 30.0, 30.0 | ||
| ds_factor = 1 | ||
| n_frames = 0 | ||
| signals = None | ||
| while True: | ||
| ret, frame = cap.read() | ||
| # Measure frequency | ||
| t_prev = t | ||
| t = time.time() | ||
| if not vl.active.is_set(): | ||
| # Process result if available | ||
| if len(vl.result) > 0: | ||
| # Results are available - fetch and reset | ||
| result = vl.result[0] | ||
| vl.result = [] | ||
| # Update the buffer | ||
| signals = signal_buffer.update({ | ||
| **{ | ||
| f"{key}_sig": value['value'] if 'value' in value else np.array(value['data']) | ||
| for key, value in result['vital_signs'].items() | ||
| }, | ||
| **{ | ||
| f"{key}_conf": value['confidence'] if isinstance(value['confidence'], np.ndarray) else np.array(value['confidence']) | ||
| for key, value in result['vital_signs'].items() | ||
| }, | ||
| 'face_conf': result['face']['confidence'], | ||
| }, dt=n_frames) | ||
| with warnings.catch_warnings(): | ||
| warnings.simplefilter("ignore", category=RuntimeWarning) | ||
| # Measure actual effective sampling frequency at which neural net input was sampled | ||
| fps = np.nanmean(fps_buffer.update([(1./(t - t_prev))/ds_factor], dt=n_frames)) | ||
| roi = get_upper_body_roi_from_det(result['face']['coordinates'][-1], clip_dims=(width, height), cropped=True) | ||
| # Measure prediction frequency - how often predictions are made | ||
| p_t_prev = p_t | ||
| p_t = time.time() | ||
| p_fps = 1./(p_t - p_t_prev) | ||
| else: | ||
| # No results available | ||
| roi = None | ||
| signal_buffer.clear() | ||
| # Start next prediction | ||
| if len(frame_buffer) >= (API_MIN_FRAMES if args.method == Method.VITALLENS else 1): | ||
| n_frames = len(frame_buffer) | ||
| executor.submit(vl, frame_buffer.copy(), fps) | ||
| frame_buffer.clear() | ||
| # Sample frames | ||
| if i % ds_factor == 0: | ||
| # Add current frame to the buffer (BGR -> RGB) | ||
| frame_buffer.append(frame[...,::-1]) | ||
| i += 1 | ||
| # Display | ||
| if roi is not None: | ||
| draw_roi(frame, roi) | ||
| draw_signal( | ||
| frame=frame, roi=roi, sig=signals, sig_name='ppg_waveform_sig', sig_conf_name='ppg_waveform_conf', | ||
| draw_area_tl_x=roi[2]+20, draw_area_tl_y=roi[1], color=(0, 0, 255)) | ||
| draw_signal( | ||
| frame=frame, roi=roi, sig=signals, sig_name='respiratory_waveform_sig', sig_conf_name='respiratory_waveform_conf', | ||
| draw_area_tl_x=roi[2]+20, draw_area_tl_y=int(roi[1]+(roi[3]-roi[1])/2.0), color=(255, 0, 0)) | ||
| draw_fps(frame, fps=fps, text="fps", draw_area_bl_x=roi[0], draw_area_bl_y=roi[3]+20) | ||
| draw_fps(frame, fps=p_fps, text="p_fps", draw_area_bl_x=int(roi[0]+0.4*(roi[2]-roi[0])), draw_area_bl_y=roi[3]+20) | ||
| draw_vital(frame, sig=signals, text="hr [bpm]", sig_name='ppg_waveform_sig', fps=fps, color=(0,0,255), draw_area_bl_x=roi[2]+20, draw_area_bl_y=int(roi[1]+(roi[3]-roi[1])/2.0)) | ||
| draw_vital(frame, sig=signals, text="rr [rpm]", sig_name='respiratory_waveform_sig', fps=fps, color=(255,0,0), draw_area_bl_x=roi[2]+20, draw_area_bl_y=roi[3]) | ||
| cv2.imshow('Live', frame) | ||
| c = cv2.waitKey(1) | ||
| if c == 27: | ||
| break | ||
| # Even out fps | ||
| dt_req = 1./target_fps - (time.time() - t) | ||
| if dt_req > 0: time.sleep(dt_req) | ||
|
|
||
| cap.release() | ||
| cv2.destroyAllWindows() | ||
|
|
||
| def method_type(name): | ||
| try: | ||
| return Method[name] | ||
| except KeyError: | ||
| raise argparse.ArgumentTypeError(f"{name} is not a valid Method") | ||
|
|
||
| if __name__ == '__main__': | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument('--api_key', type=str, default='', help='Your API key. Get one for free at https://www.rouast.com/api.') | ||
| parser.add_argument('--method', type=method_type, default='VITALLENS', help='Choice of method (VITALLENS, POS, CHROM, or G)') | ||
| args = parser.parse_args() | ||
| run(args) |
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