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traffic-counter
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kicap 2024-07-29 13:34:24 +08:00
parent 0182968003
commit 2a7fa1722b
2 changed files with 17 additions and 3 deletions
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15
app.py
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@ -35,6 +35,15 @@ async def get_db_connection():
loop=asyncio.get_running_loop() loop=asyncio.get_running_loop()
) )
def hitung_kepadatan_kendaraan(jumlah_kendaraan, panjang_jalan):
if panjang_jalan <= 0:
raise ValueError("Panjang jalan harus lebih besar dari nol.")
kepadatan = jumlah_kendaraan / panjang_jalan
return kepadatan
async def insert_data(nama, waktu,waktu_sekarang ,kenderaan_kiri, kenderaan_kanan,status): async def insert_data(nama, waktu,waktu_sekarang ,kenderaan_kiri, kenderaan_kanan,status):
# get the datetime # get the datetime
now = time.strftime("%Y-%m-%d %H:%M:%S") now = time.strftime("%Y-%m-%d %H:%M:%S")
@ -144,13 +153,16 @@ async def generate_frames2(video, threshold,stat):
# cv2.drawContours(image, hull, -1, (0, 255, 0), 3) # cv2.drawContours(image, hull, -1, (0, 255, 0), 3)
# line created to stop counting contours, needed as cars in distance become one big contour # line created to stop counting contours, needed as cars in distance become one big contour
lineypos = 100 lineypos = 90
# cv2.line(image, (0, lineypos), (width, lineypos), (255, 0, 0), 5) # cv2.line(image, (0, lineypos), (width, lineypos), (255, 0, 0), 5)
# line y position created to count contours # line y position created to count contours
lineypos2 = 150 lineypos2 = 150
cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 255, 0), 5) cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 255, 0), 5)
cv2.line(image, (0, 225), (width, 225), (255, 255, 255), 2)
cv2.line(image, (0, lineypos), (width, lineypos), (255, 255, 255), 2)
# min area for contours in case a bunch of small noise contours are created # min area for contours in case a bunch of small noise contours are created
minarea = 200 minarea = 200
@ -160,6 +172,7 @@ async def generate_frames2(video, threshold,stat):
# vectors for the x and y locations of contour centroids in current frame # vectors for the x and y locations of contour centroids in current frame
cxx = np.zeros(len(contours)) cxx = np.zeros(len(contours))
cyy = np.zeros(len(contours)) cyy = np.zeros(len(contours))
for i in range(len(contours)): # cycles through all contours in current frame for i in range(len(contours)): # cycles through all contours in current frame

5
templates/index2.html
View File

@ -281,10 +281,11 @@
$("#minimal_kepadatan").val(minimal_kepadatan); $("#minimal_kepadatan").val(minimal_kepadatan);
function olah_video() { function olah_video() {
var video = document.getElementById('video').value; var video = document.getElementById('video').value;
var minimal_kepadatan = document.getElementById('minimal_kepadatan').value; // var minimal_kepadatan = document.getElementById('minimal_kepadatan').value;
// var threshold = document.getElementById('threshold').value; // var threshold = document.getElementById('threshold').value;
var threshold = 450; var threshold = 450;
window.location.href = '/?video=' + video + '&threshold=' + threshold + '&minimal_kepadatan=' + minimal_kepadatan; // window.location.href = '/?video=' + video + '&threshold=' + threshold + '&minimal_kepadatan=' + minimal_kepadatan;
window.location.href = '/?video=' + video + '&threshold=' + threshold ;
} }
function check_jumlah_kenderaan() { function check_jumlah_kenderaan() {