import numpy as np
import cv2
import video
from common import nothing, clock, draw_str

MHI_DURATION = 0.5
DEFAULT_THRESHOLD = 32
MAX_TIME_DELTA = 0.25
MIN_TIME_DELTA = 0.05

def draw_motion_comp(vis, (x, y, w, h), angle, color):
    cv2.rectangle(vis, (x, y), (x+w, y+h), (0, 255, 0))
    r = min(w/2, h/2)
    cx, cy = x+w/2, y+h/2
    angle = np.deg2rad(angle)
    cv2.circle(vis, (cx, cy), r, color, 3)
    cv2.line(vis, (cx, cy), (int(cx+np.cos(angle)*r), int(cy+np.sin(angle)*r)), color, 3)

if __name__ == '__main__':
    import sys
    try: video_src = sys.argv[1]
    except: video_src = 'synth:class=chess:bg=../cpp/lena.jpg:noise=0.01'

    cv2.namedWindow('motempl')
    visuals = ['input', 'frame_diff', 'motion_hist', 'grad_orient']
    cv2.createTrackbar('visual', 'motempl', 2, len(visuals)-1, nothing)
    cv2.createTrackbar('threshold', 'motempl', DEFAULT_THRESHOLD, 255, nothing)

    cam = video.create_capture(video_src)
    ret, frame = cam.read()
    h, w = frame.shape[:2]
    prev_frame = frame.copy()
    motion_history = np.zeros((h, w), np.float32)
    hsv = np.zeros((h, w, 3), np.uint8)
    hsv[:,:,1] = 255
    while True:
        ret, frame = cam.read()
        frame_diff = cv2.absdiff(frame, prev_frame)
        gray_diff = cv2.cvtColor(frame_diff, cv2.COLOR_BGR2GRAY)
        thrs = cv2.getTrackbarPos('threshold', 'motempl')
        ret, motion_mask = cv2.threshold(gray_diff, thrs, 1, cv2.THRESH_BINARY)
        timestamp = clock()
        cv2.updateMotionHistory(motion_mask, motion_history, timestamp, MHI_DURATION)
        mg_mask, mg_orient = cv2.calcMotionGradient( motion_history, MAX_TIME_DELTA, MIN_TIME_DELTA, apertureSize=5 )
        seg_mask, seg_bounds = cv2.segmentMotion(motion_history, timestamp, MAX_TIME_DELTA)

        visual_name = visuals[cv2.getTrackbarPos('visual', 'motempl')]
        if visual_name == 'input':
            vis = frame.copy()
        elif visual_name == 'frame_diff':
            vis = frame_diff.copy()
        elif visual_name == 'motion_hist':
            vis = np.uint8(np.clip((motion_history-(timestamp-MHI_DURATION)) / MHI_DURATION, 0, 1)*255)
            vis = cv2.cvtColor(vis, cv2.COLOR_GRAY2BGR)
        elif visual_name == 'grad_orient':
            hsv[:,:,0] = mg_orient/2
            hsv[:,:,2] = mg_mask*255
            vis = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)

        for i, rect in enumerate([(0, 0, w, h)] + list(seg_bounds)):
            x, y, rw, rh = rect
            area = rw*rh
            if area < 64**2:
                continue
            silh_roi   = motion_mask   [y:y+rh,x:x+rw]
            orient_roi = mg_orient     [y:y+rh,x:x+rw]
            mask_roi   = mg_mask       [y:y+rh,x:x+rw]
            mhi_roi    = motion_history[y:y+rh,x:x+rw]
            if cv2.norm(silh_roi, cv2.NORM_L1) < area*0.05:
                continue
            angle = cv2.calcGlobalOrientation(orient_roi, mask_roi, mhi_roi, timestamp, MHI_DURATION)
            color = ((255, 0, 0), (0, 0, 255))[i == 0]
            draw_motion_comp(vis, rect, angle, color)

        draw_str(vis, (20, 20), visual_name)
        cv2.imshow('motempl', vis)

        prev_frame = frame.copy()
        if cv2.waitKey(5) == 27:
            break