I am running this code:
#!/usr/bin/env python
import cv2
import os
import sys, getopt
import signal
import time
from edge_impulse_linux.image import ImageImpulseRunner
import RPi.GPIO as GPIO
from hx711 import HX711
import requests
import json
from requests.structures import CaseInsensitiveDict
runner = None
show_camera = True
c_value = 0
flag = 0
ratio = 218.0548780487805
id_product = 1
list_label = []
list_weight = []
count = 0
final_weight = 0
taken = 0
a = ‘Apple’
b = ‘Banana’
l = ‘Lays’
c = ‘Coke’
def now():
return round(time.time() * 1000)
def get_webcams():
port_ids = []
for port in range(5):
print(“Looking for a camera in port %s:” %port)
camera = cv2.VideoCapture(port)
if camera.isOpened():
ret = camera.read()[0]
if ret:
backendName =camera.getBackendName()
w = camera.get(3)
h = camera.get(4)
print(“Camera %s (%s x %s) found in port %s " %(backendName,h,w, port))
port_ids.append(port)
camera.release()
return port_ids
def sigint_handler(sig, frame):
print(‘Interrupted’)
if (runner):
runner.stop()
sys.exit(0)
signal.signal(signal.SIGINT, sigint_handler)
def help():
print(‘python classify.py <path_to_model.eim> <Camera port ID, only required when more than 1 camera is present>’)
def find_weight():
global c_value
global hx
if c_value == 0:
print(‘Calibration starts’)
try:
GPIO.setmode(GPIO.BCM)
hx = HX711(dout_pin=20, pd_sck_pin=21)
err = hx.zero()
if err:
raise ValueError(‘Tare is unsuccessful.’)
hx.set_scale_ratio(ratio)
c_value = 1
except (KeyboardInterrupt, SystemExit):
print(‘Bye :)’)
print(‘Calibrate ends’)
else :
GPIO.setmode(GPIO.BCM)
time.sleep(1)
try:
weight = int(hx.get_weight_mean(20))
#round(weight,1)
print(weight, ‘g’)
return weight
except (KeyboardInterrupt, SystemExit):
print(‘Bye :)’)
def post(label,price,final_rate,taken):
global id
url = “https://ardaapi.herokuapp.com/product”
headers = CaseInsensitiveDict()
headers[“Content-Type”] = “application/json”
data_dict = {“id”:id_product,“name”:label,“price”:price,“units”:“units”,“taken”:taken,“payable”:final_rate}
data = json.dumps(data_dict)
resp = requests.post(url, headers=headers, data=data)
print(resp.status_code)
id_product = id_product + 1
time.sleep(1)
list_label = []
list_weight = []
count = 0
final_weight = 0
taken = 0
def list_com(label,final_weight):
global count
global taken
if final_weight > 2 :
list_weight.append(final_weight)
if count > 1 and list_weight[-1] > list_weight[-2]:
taken = taken + 1
list_label.append(label)
count = count + 1
print(‘count is’,count)
time.sleep(1)
if count > 1:
if list_label[-1] != list_label[-2] :
print(“New Item detected”)
print(“Final weight is”,list_weight[-1])
rate(list_weight[-2],list_label[-2],taken)
def rate(final_weight,label,taken):
print(“Calculating rate”)
if label == a :
print(“Calculating rate of”,label)
final_rate_a = final_weight * 0.01
price = 10
post(label,price,final_rate_a,taken)
elif label ==b :
print(“Calculating rate of”,label)
final_rate_b = final_weight * 0.02
price = 20
post(label,price,final_rate_b,taken)
elif label == l:
print(“Calculating rate of”,label)
final_rate_l = 1
price = 1
post(label,price,final_rate_l,taken)
else :
print(“Calculating rate of”,label)
final_rate_c = 2
price = 2
post(label,price,final_rate_c,taken)
def main(argv):
global flag
global final_weight
if flag == 0 :
find_weight()
flag = 1
try:
opts, args = getopt.getopt(argv, “h”, [”–help"])
except getopt.GetoptError:
help()
sys.exit(2)
for opt, arg in opts:
if opt in (‘-h’, ‘–help’):
help()
sys.exit()
if len(args) == 0:
help()
sys.exit(2)
model = args[0]
dir_path = os.path.dirname(os.path.realpath(file))
modelfile = os.path.join(dir_path, model)
print(‘MODEL: ’ + modelfile)
with ImageImpulseRunner(modelfile) as runner:
try:
model_info = runner.init()
print(‘Loaded runner for "’ + model_info[‘project’][‘owner’] + ’ / ’ + model_info[‘project’][‘name’] + ‘"’)
labels = model_info[‘model_parameters’][‘labels’]
if len(args)>= 2:
videoCaptureDeviceId = int(args[1])
else:
port_ids = get_webcams()
if len(port_ids) == 0:
raise Exception(‘Cannot find any webcams’)
if len(args)<= 1 and len(port_ids)> 1:
raise Exception(“Multiple cameras found. Add the camera port ID as a second argument to use to this script”)
videoCaptureDeviceId = int(port_ids[0])
camera = cv2.VideoCapture(videoCaptureDeviceId)
ret = camera.read()[0]
if ret:
backendName = camera.getBackendName()
w = camera.get(3)
h = camera.get(4)
print(“Camera %s (%s x %s) in port %s selected.” %(backendName,h,w, videoCaptureDeviceId))
camera.release()
else:
raise Exception(“Couldn’t initialize selected camera.”)
next_frame = 0 # limit to ~10 fps here
for res, img in runner.classifier(videoCaptureDeviceId):
if (next_frame > now()):
time.sleep((next_frame - now()) / 1000)# print(‘classification runner response’, res)
if “classification” in res[“result”].keys():
print(‘Result (%d ms.) ’ % (res[‘timing’][‘dsp’] + res[‘timing’][‘classification’]), end=’’)
for label in labels:
score = res[‘result’][‘classification’][label]
if score > 0.9 :
final_weight = find_weight()
list_com(label,final_weight)
if label == a:
print(‘Apple detected’)
elif label == b:
print(‘Banana detected’)
elif label == l:
print(‘Lays deteccted’)
else :
print(‘Coke detected’)
print(‘’, flush=True)
next_frame = now() + 100
finally:
if (runner):
runner.stop()
if name == “main”:
main(sys.argv[1:])
And I get this result even though I have a camera connected:
python billing.py /home/pi/modelfile.eim
Calibration starts
Calibrate ends
MODEL: /home/pi/modelfile.eim
Loaded runner for “Taylan Arda Çelik / test”
Looking for a camera in port 0:
Looking for a camera in port 1:
[ WARN:0] global /tmp/pip-wheel-a8gfdc_n/opencv-python_13563f08137a4b20bc4dfee05bcbf854/opencv/modules/videoio/src/cap_v4l.cpp (893) open VIDEOIO(V4L2:/dev/video1): can’t open camera by index
Looking for a camera in port 2:
[ WARN:0] global /tmp/pip-wheel-a8gfdc_n/opencv-python_13563f08137a4b20bc4dfee05bcbf854/opencv/modules/videoio/src/cap_v4l.cpp (893) open VIDEOIO(V4L2:/dev/video2): can’t open camera by index
Looking for a camera in port 3:
[ WARN:0] global /tmp/pip-wheel-a8gfdc_n/opencv-python_13563f08137a4b20bc4dfee05bcbf854/opencv/modules/videoio/src/cap_v4l.cpp (893) open VIDEOIO(V4L2:/dev/video3): can’t open camera by index
Looking for a camera in port 4:
[ WARN:0] global /tmp/pip-wheel-a8gfdc_n/opencv-python_13563f08137a4b20bc4dfee05bcbf854/opencv/modules/videoio/src/cap_v4l.cpp (893) open VIDEOIO(V4L2:/dev/video4): can’t open camera by index
Traceback (most recent call last):
File “/home/pi/billing.py”, line 232, in
main(sys.argv[1:])
File “/home/pi/billing.py”, line 186, in main
raise Exception(‘Cannot find any webcams’)
Exception: Cannot find any webcams
What should I do to make it find the camera?