INSTRUCTIONS.

[TheSman122333]

Instructions unclear. Please contact me, I would like further help setting up.

[trabulium]

From what I've gathered so far.. Go into the directory, create a subfolder called clip and then download a youtube ATP video using youtube-dl. Trim it to ~20 seconds or so to begin with because it's quite slow to process.

Put a copy of that trimmed mp4 in clips/tennis.mp4

then put another copy in the same folder as your python files

Search CourtDetection.py and TraceHeader.py for the term 'mp4' and change them to be like this

CourtDetection.py:clip = VideoWriter('./tennis.mp4',fourcc,25.0,(widthP,heightP)) CourtDetection.py:video = VideoCapture('./tennis.mp4') TraceHeader.py:videoFile = './clips/tennis.mp4'

Once you have that done, you can run python CourtDetection.py.

I python video player window should popup like this as it's processing. For me, it's quite slow (Macbook M1). It takes around 30 seconds for the ball to go from one player to the other. It seems to be writing a new video to the one you created in the same folder as your python files.

[TheSman122333]

Can you send a code example? I dont understand what to replace with the snippet.

[TheSman122333]

I do get an output file, but it is corrupted, and is really fast to output, here is the code output

C:\Users\srima\Downloads\TRACE-main> & C:/Users/srima/anaconda3/envs/imgrec/python.exe c:/Users/srima/Downloads/TRACE-main/TRACE-main/CourtDetection.py INFO: Created TensorFlow Lite XNNPACK delegate for CPU.

`from os import path from sys import exit

Video to be used placed in Clips folder

videoFile = 'TRACE-main\tennis.mp4'

def checkBounds(frame1, frame2): flag = 0 if (frame1.xcenter == 0): if (frame1.x+frame1.xoffset>1): print("crop1: x Coordinates out of bounds") flag = 1 else: if (frame1.x>1): print("crop1: x Coordinates out of bounds") flag = 1 if (frame1.ycenter == 0): if (frame1.y+frame1.yoffset>1): print("crop1: y Coordinates out of bounds") flag = 1 else: if (frame1.y>1): print("crop1: y Coordinates out of bounds") flag = 1

if (frame2.xcenter == 0):
    if (frame2.x+frame2.xoffset>1):
        print("crop2: x Coordinates out of bounds")
        flag = 1
else:
    if (frame2.x>1):
        print("crop2: x Coordinates out of bounds")
        flag = 1
if (frame2.ycenter == 0):
    if (frame2.y+frame2.yoffset>1):
        print("crop2: y Coordinates out of bounds")
        flag = 1
else:
    if (frame2.y>1):
        print("crop2: y Coordinates out of bounds")
        flag = 1
if (flag):
    exit()

def checkPath(filePath): flag = 0 if not path.exists(filePath): print("videoFile: path "+filePath+" does not exist") flag = 1 if (flag): exit()

def calculatePixels(frame, width, height): frame.x = int(widthframe.x) frame.y = int(heightframe.y) if frame.xcenter: frame.xoffset = int((width-frame.x)/2) else: frame.xoffset = int(widthframe.xoffset) if frame.ycenter: frame.yoffset = int((height-frame.y)/2) else: frame.yoffset = int(heightframe.yoffset) return frame

def determinant(a, b): return a[0] b[1] - a[1] b[0]

def findIntersection(line1, line2, xStart, yStart, xEnd, yEnd): xDiff = (line1[0][0]-line1[1][0],line2[0][0]-line2[1][0]) yDiff = (line1[0][1]-line1[1][1],line2[0][1]-line2[1][1]) div = determinant(xDiff, yDiff) if div == 0: return None d = (determinant(line1), determinant(line2)) x = int(determinant(d, xDiff) / div) y = int(determinant(d, yDiff) / div) if (x<xStart) or (x>xEnd): return None if (y<yStart) or (y>yEnd): return None return x,y ` ^ is trace header

`from numpy import pi, ones, zeros, uint8, where, cos, sin, sqrt from cv2 import VideoCapture, cvtColor, Canny, line, imshow, waitKey, destroyAllWindows, COLOR_BGR2GRAY, HoughLinesP from cv2 import threshold, THRESH_BINARY, dilate, floodFill, circle, HoughLines, erode, rectangle, VideoWriter, VideoWriter_fourcc from TraceHeader import videoFile, findIntersection, calculatePixels from CourtMapping import courtMap, showLines, showPoint, heightP, widthP, givePoint from BodyTracking import bodyMap from mediapipe import solutions from BallDetection import BallDetector from BallMapping import euclideanDistance, withinCircle

Retrieve video from video file

video = VideoCapture('./tennis.mp4') width = int(video.get(3)) height = int(video.get(4))

fourcc = VideoWriter_fourcc(*'mp4v') clip = VideoWriter('./tennis.mp4',fourcc,25.0,(widthP,heightP)) processedFrame = None

Ratios of the crop width, height, and offsets

If centered is 1, program ignores offset and centers frame

class crop1: x: float = 50/100 xoffset: float = 0/100 xcenter: int = 1

y: float = 33/100
yoffset: float = 0/100
ycenter: int = 0

class crop2: x: float = 83/100 xoffset: float = 0/100 xcenter: int = 1

y: float = 60/100
yoffset: float = 40/100
ycenter: int = 0

Calculations for pixels used in both crops

crop1 = calculatePixels(crop1, width, height) crop2 = calculatePixels(crop2, width, height)

Body smoothing, n is number of frames averaged

n = 3 counter = 0

Player pose decleration

mp_pose = solutions.pose

class body1: pose = mp_pose.Pose(model_complexity=2, min_detection_confidence=0.25, min_tracking_confidence=0.25) x: int xAvg: float = 0 y: int yAvg: float = 0

class body2: pose = mp_pose.Pose(model_complexity=2, min_detection_confidence=0.25, min_tracking_confidence=0.25) x: int xAvg: float = 0 y: int yAvg: float = 0

Setting reference frame lines

extraLen = width/3 class axis: top = [[-extraLen,0],[width+extraLen,0]] right = [[width+extraLen,0],[width+extraLen,height]] bottom = [[-extraLen,height],[width+extraLen,height]] left = [[-extraLen,0],[-extraLen,height]]

Setting comparison points

NtopLeftP = None NtopRightP = None NbottomLeftP = None NbottomRightP = None

ball_detector = BallDetector('TrackNet/Weights.pth', out_channels=2) ballProximity = [] ball = None lastSeen = None handPoints = None flag = [0,0,0,0] coords = [] minDist1 = heightwidth minDist2 = heightwidth velocities = []

while video.isOpened(): ret, frame = video.read() if frame is None: break

# Apply filters that removes noise and simplifies image
gry = cvtColor(frame, COLOR_BGR2GRAY)
bw = threshold(gry, 156, 255, THRESH_BINARY)[1]
canny = Canny(bw, 100, 200)

# Using hough lines probablistic to find lines with most intersections
hPLines = HoughLinesP(canny, 1, pi/180, threshold=150, minLineLength=100, maxLineGap=10)
intersectNum = zeros((len(hPLines),2))
i = 0
for hPLine1 in hPLines:
    Line1x1, Line1y1, Line1x2, Line1y2 = hPLine1[0]
    Line1 = [[Line1x1,Line1y1],[Line1x2,Line1y2]]
    for hPLine2 in hPLines:
        Line2x1, Line2y1, Line2x2, Line2y2 = hPLine2[0]
        Line2 = [[Line2x1,Line2y1],[Line2x2,Line2y2]]
        if Line1 is Line2:
            continue
        if Line1x1>Line1x2:
            temp = Line1x1
            Line1x1 = Line1x2
            Line1x2 = temp

        if Line1y1>Line1y2:
            temp = Line1y1
            Line1y1 = Line1y2
            Line1y2 = temp

        intersect = findIntersection(Line1, Line2, Line1x1-200, Line1y1-200, Line1x2+200, Line1y2+200)
        if intersect is not None:
            intersectNum[i][0] += 1
    intersectNum[i][1] = i
    i += 1

# Lines with most intersections get a fill mask command on them
i = p = 0
dilation = dilate(bw, ones((5, 5), uint8), iterations=1)
nonRectArea = dilation.copy()
intersectNum = intersectNum[(-intersectNum)[:, 0].argsort()]
for hPLine in hPLines:
    x1,y1,x2,y2 = hPLine[0]
    # line(frame, (x1,y1), (x2,y2), (255, 255, 0), 2)
    for p in range(8):
        if (i==intersectNum[p][1]) and (intersectNum[i][0]>0):
            # line(frame, (x1,y1), (x2,y2), (0, 0, 255), 2)
            floodFill(nonRectArea, zeros((height+2, width+2), uint8), (x1, y1), 1) 
            floodFill(nonRectArea, zeros((height+2, width+2), uint8), (x2, y2), 1) 
    i+=1
dilation[where(nonRectArea == 255)] = 0
dilation[where(nonRectArea == 1)] = 255
eroded = erode(dilation, ones((5, 5), uint8)) 
cannyMain = Canny(eroded, 90, 100)

# Extreme lines found every frame
xOLeft = width + extraLen
xORight = 0 - extraLen
xFLeft = width + extraLen
xFRight = 0 - extraLen

yOTop = height
yOBottom = 0
yFTop = height
yFBottom = 0

# Finding all lines then allocate them to specified extreme variables
hLines = HoughLines(cannyMain, 2, pi/180, 300)
for hLine in hLines:
    for rho,theta in hLine:
        a = cos(theta)
        b = sin(theta)
        x0 = a*rho
        y0 = b*rho
        x1 = int(x0 + width*(-b))
        y1 = int(y0 + width*(a))
        x2 = int(x0 - width*(-b))
        y2 = int(y0 - width*(a))

        # Furthest intersecting point at every axis calculations done here
        intersectxF = findIntersection(axis.bottom, [[x1,y1],[x2,y2]], -extraLen, 0, width+extraLen, height)
        intersectyO = findIntersection(axis.left, [[x1,y1],[x2,y2]], -extraLen, 0, width+extraLen, height)
        intersectxO = findIntersection(axis.top, [[x1,y1],[x2,y2]], -extraLen, 0, width+extraLen, height)
        intersectyF = findIntersection(axis.right, [[x1,y1],[x2,y2]], -extraLen, 0, width+extraLen, height)

        if (intersectxO is None) and (intersectxF is None) and (intersectyO is None) and (intersectyF is None):
            continue

        if intersectxO is not None:
            if intersectxO[0] < xOLeft:
                xOLeft = intersectxO[0]
                xOLeftLine = [[x1,y1],[x2,y2]]
            if intersectxO[0] > xORight:
                xORight = intersectxO[0]
                xORightLine = [[x1,y1],[x2,y2]]
        if intersectyO is not None:
            if intersectyO[1] < yOTop:
                yOTop = intersectyO[1]
                yOTopLine = [[x1,y1],[x2,y2]]
            if intersectyO[1] > yOBottom:
                yOBottom = intersectyO[1]
                yOBottomLine = [[x1,y1],[x2,y2]]

        if intersectxF is not None:
            if intersectxF[0] < xFLeft:
                xFLeft = intersectxF[0]
                xFLeftLine = [[x1,y1],[x2,y2]]
            if intersectxF[0] > xFRight:
                xFRight = intersectxF[0]
                xFRightLine = [[x1,y1],[x2,y2]]
        if intersectyF is not None:
            if intersectyF[1] < yFTop:
                yFTop = intersectyF[1]
                yFTopLine = [[x1,y1],[x2,y2]]
            if intersectyF[1] > yFBottom:
                yFBottom = intersectyF[1]
                yFBottomLine = [[x1,y1],[x2,y2]]
        # line(frame, (x1,y1), (x2,y2), (0, 0, 255), 2)

# lineEndpoints = []
# lineEndpoints.append(xOLeftLine)
# lineEndpoints.append(xORightLine)
# lineEndpoints.append(yOTopLine)
# lineEndpoints.append(yOBottomLine)
# lineEndpoints.append(xFLeftLine)
# lineEndpoints.append(xFRightLine)
# lineEndpoints.append(yFTopLine)
# lineEndpoints.append(yFBottomLine)

# for i in range(len(lineEndpoints)):
#     line(frame, (lineEndpoints[i][0][0],lineEndpoints[i][0][1]), (lineEndpoints[i][1][0],lineEndpoints[i][1][1]), (0, 0, 255), 2)

# Top line has margin of error that effects all courtmapped outputs 
yOTopLine[0][1] = yOTopLine[0][1]+4
yOTopLine[1][1] = yOTopLine[1][1]+4

yFTopLine[0][1] = yFTopLine[0][1]+4
yFTopLine[1][1] = yFTopLine[1][1]+4

# Find four corners of the court and display it
topLeftP = findIntersection(xOLeftLine, yOTopLine, -extraLen, 0, width+extraLen, height)
topRightP = findIntersection(xORightLine, yFTopLine, -extraLen, 0, width+extraLen, height)
bottomLeftP = findIntersection(xFLeftLine, yOBottomLine, -extraLen, 0, width+extraLen, height)
bottomRightP = findIntersection(xFRightLine, yFBottomLine, -extraLen, 0, width+extraLen, height)

# If all corner points are different or something not found, rerun print
if (not(topLeftP == NtopLeftP)) and (not(topRightP == NtopRightP)) and (not(bottomLeftP == NbottomLeftP)) and (not(bottomRightP == NbottomRightP)):
    # line(frame, topLeftP, topRightP, (0, 0, 255), 2)
    # line(frame, bottomLeftP, bottomRightP, (0, 0, 255), 2)
    # line(frame, topLeftP, bottomLeftP, (0, 0, 255), 2)
    # line(frame, topRightP, bottomRightP, (0, 0, 255), 2)

    # circle(frame, topLeftP, radius=0, color=(255, 0, 255), thickness=10)
    # circle(frame, topRightP, radius=0, color=(255, 0, 255), thickness=10)
    # circle(frame, bottomLeftP, radius=0, color=(255, 0, 255), thickness=10)
    # circle(frame, bottomRightP, radius=0, color=(255, 0, 255), thickness=10)

    NtopLeftP = topLeftP
    NtopRightP = topRightP
    NbottomLeftP = bottomLeftP
    NbottomRightP = bottomRightP

# else:
    # line(frame, NtopLeftP, NtopRightP, (0, 0, 255), 2)
    # line(frame, NbottomLeftP, NbottomRightP, (0, 0, 255), 2)
    # line(frame, NtopLeftP, NbottomLeftP, (0, 0, 255), 2)
    # line(frame, NtopRightP, NbottomRightP, (0, 0, 255), 2)

    # circle(frame, NtopLeftP, radius=0, color=(255, 0, 255), thickness=10)
    # circle(frame, NtopRightP, radius=0, color=(255, 0, 255), thickness=10)
    # circle(frame, NbottomLeftP, radius=0, color=(255, 0, 255), thickness=10)
    # circle(frame, NbottomRightP, radius=0, color=(255, 0, 255), thickness=10)

# Displaying feet and hand points from bodyMap function
handPointsPrev = handPoints
feetPoints, handPoints, nosePoints = bodyMap(frame, body1.pose, body2.pose, crop1, crop2)

if (not any(item is None for sublist in feetPoints for item in sublist)) or (not any(item is None for sublist in handPoints for item in sublist)) or (not any(item is None for sublist in nosePoints for item in sublist)):
    # circle(frame, handPoints[0], radius=0, color=(0, 0, 255), thickness=10)
    # circle(frame, handPoints[1], radius=0, color=(0, 0, 255), thickness=10)
    # circle(frame, handPoints[2], radius=0, color=(0, 0, 255), thickness=30)
    # circle(frame, handPoints[3], radius=0, color=(0, 0, 255), thickness=30)

    # circle(frame, feetPoints[0], radius=0, color=(0, 0, 255), thickness=10)
    # circle(frame, feetPoints[1], radius=0, color=(0, 0, 255), thickness=10)
    # circle(frame, feetPoints[2], radius=0, color=(0, 0, 255), thickness=30)
    # circle(frame, feetPoints[3], radius=0, color=(0, 0, 255), thickness=30)

    # Prioritizing lower foot y in body average y position
    if feetPoints[0][1] > feetPoints[1][1]:
        lowerFoot1 = feetPoints[0][1]
        higherFoot1 = feetPoints[1][1]
    else:
        lowerFoot1 = feetPoints[1][1]
        higherFoot1 = feetPoints[0][1]

    if feetPoints[2][1] > feetPoints[3][1]:
        lowerFoot2 = feetPoints[2][1]
        higherFoot2 = feetPoints[3][1]
    else:
        lowerFoot2 = feetPoints[3][1]
        higherFoot2 = feetPoints[2][1]

    # Allocated 75% preference to lower foot y positions
    body1.x = (feetPoints[0][0]+feetPoints[1][0])/2
    body1.y = lowerFoot1*0.8+higherFoot1*0.2

    body2.x = (feetPoints[2][0]+feetPoints[3][0])/2
    body2.y = lowerFoot2*0.8+higherFoot2*0.2

    # Body coordinate smoothing
    counter += 1
    coeff = 1. / min(counter, n)
    body1.xAvg = coeff * body1.x + (1. - coeff) * body1.xAvg
    body1.yAvg = coeff * body1.y + (1. - coeff) * body1.yAvg
    body2.xAvg = coeff * body2.x + (1. - coeff) * body2.xAvg
    body2.yAvg = coeff * body2.y + (1. - coeff) * body2.yAvg

    # Calculate euclidian distance between average of feet and hand indexes for both players
    circleRadiusBody1 = int(0.65 * euclideanDistance(nosePoints[0], [body1.x, body1.y]))
    circleRadiusBody2 = int(0.6 * euclideanDistance(nosePoints[1], [body2.x, body2.y]))

    # Distorting frame and outputting results
    processedFrame, M = courtMap(frame, NtopLeftP, NtopRightP, NbottomLeftP, NbottomRightP)
    # Create black background
    rectangle(processedFrame, (0,0),(967,1585),(188,145,103),2000)
    processedFrame = showLines(processedFrame)

    processedFrame = showPoint(processedFrame, M, [body1.xAvg,body1.yAvg])
    processedFrame = showPoint(processedFrame, M, [body2.xAvg,body2.yAvg])

    ballPrev = ball
    ball_detector.detect_ball(frame)
    if ball_detector.xy_coordinates[-1][0] is not None:
        ball = ball_detector.xy_coordinates[-1]
        lastSeen = counter

    # Draw a circle around both hands for both players
    # circle(frame, (handPoints[0]), circleRadiusBody1, (255,0,0), 2) # left
    circle(frame, (handPoints[1]), circleRadiusBody1, (255,0,0), 2) # right

    # circle(frame, (handPoints[2]), circleRadiusBody2, (255,0,0), 2) # left
    circle(frame, (handPoints[3]), circleRadiusBody2, (255,0,0), 2) # right

    if ball is not None:
        circle(frame, ball, 4, (0,255,0), 3)
        circle(frame, ballPrev, 3, (0,255,0), 2)

        # If ball location is unique
        if ball is not ballPrev:
            # Find locations where the ball gets closer to the body
            if withinCircle(handPoints[1], circleRadiusBody1, ball):
                if minDist1>euclideanDistance(handPoints[1], ball):
                    minDist1 = euclideanDistance(handPoints[1], ball)
                    coords.append((ball, givePoint(M, ball), givePoint(M, (body1.x,body1.y)), counter))
            else:
                minDist1 = circleRadiusBody1
            if withinCircle(handPoints[3], circleRadiusBody2, ball):
                if minDist2>euclideanDistance(handPoints[3], ball):
                    minDist2 = euclideanDistance(handPoints[3], ball)
                    coords.append((ball, givePoint(M, ball), givePoint(M, (body2.x,body2.y)), counter))
            else:
                minDist2 = circleRadiusBody2

            # Find locations of ball bounce

            if ball_detector.xy_coordinates[-2][0] is not None:
                xVelocity = ball[0] - ballPrev[0]
                yVelocity = (ball[1] - ballPrev[1])*(1+(height-ball[1])*0.4/height)
                if withinCircle(handPoints[3], circleRadiusBody2, ball) or withinCircle(handPoints[1], circleRadiusBody1, ball):
                    within = True
                else:
                    within = False
                velocities.append(([xVelocity,yVelocity], counter, givePoint(M, ball), within))

    # If the previous ball coordinate is close to the current one, remove the previous one
    if len(coords)>=2:
        if euclideanDistance(coords[-1][0], coords[-2][0]) < 200:
            del coords[-2]

    # Display hit points
    for i in range(len(coords)):
        circle(frame, coords[i][0], 4, (0,0,255), 4)

# Write processed frame to clip
if processedFrame is not None:    
    clip.write(processedFrame)
imshow("Frame", frame)
if waitKey(1) == ord("q"):
    break

Last found location of ball should be appended to ball array

coords.append((ball, givePoint(M, ball), givePoint(M, ball), lastSeen))

clip.release() video.release() destroyAllWindows()

accelerations = [] for i in range(2,len(velocities)): if velocities[i][1]-2 == velocities[i-2][1] and velocities[i-1][3] is False: xAcceleration = (velocities[i][0][0]-velocities[i-2][0][0])/2 yAcceleration = (velocities[i][0][1]-velocities[i-2][0][1])/2 accelerations.append((int(yAcceleration), velocities[i][1])) if abs(yAcceleration) > (height/77): for k in range(len(coords)): if coords[k][3] > velocities[i-1][1]: coords.insert(k, (velocities[i-1][2], velocities[i-1][2], velocities[i-1][2], velocities[i-1][1])) break

Create inbetween points for the ball points found

Try to fix the loop later

ballArray = [] while len(coords)>1: time = coords[0][3] location = [coords[0][1][0],coords[0][2][1]] del coords[0] timeDiff = coords[0][3]-time for i in range(time, coords[0][3]): x = int(location[0]+((i-time)/timeDiff)(coords[0][1][0]-location[0])) y = int(location[1]+((i-time)/timeDiff)(coords[0][2][1]-location[1])) ballArray.append(((x,y), i))

ballArray.append(((coords[0][1][0], coords[0][2][1]), coords[0][3]))

Overlay ball information on the previous video

clip = VideoWriter('./tennis.mp4',fourcc,25.0,(widthP,heightP)) counter = 0 video = VideoCapture('./tennis.mp4') writeFlag = False while video.isOpened(): ret, frame = video.read() if frame is None: break

counter += 1

for i in range(len(ballArray)):
    if counter == ballArray[i][1]:
        circle(frame, (ballArray[i][0]), 4,(0,255,255),3)
        break

# for i in range(len(accelerations)):
#     if counter == accelerations[i][1]:
#         print(accelerations[i])
#         break

if counter == ballArray[0][1]:
    writeFlag = True

if ballArray[-1][1] == counter:
    writeFlag = False

if (writeFlag):
    index = counter - ballArray[0][1]
    circle(frame, (ballArray[index][0]), 2,(0,255,255),3)

clip.write(frame)

video.release() clip.release() destroyAllWindows()`

^ is court detection

[TheSman122333]

nvm, fixed, but now there is no output, and i get [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x100d6: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x10244: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x10365: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x104d0: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x1064a: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x11270: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x113d8: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x11630: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x117aa: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x1191a: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x12a97: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x12c18: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x12d86: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x13038: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x131a7: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x13328: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x146b3: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x1481f: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x14c5a: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x14dc7: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x14f4f: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x15e2b: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x15f6e: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x160e3: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x167ca: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x16923: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x16d7a: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x16ee4: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x17050: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x1765c: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 0, offset 0x177a9: partial file [mov,mp4,m4a,3gp,3g2,mj2 @ 000001614ba7e500] stream 1, offset 0x17931: partial file

[TheSman122333]

It does overwrite the tennis.mp4 in the folder with the files, but it corrupts it.