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| import pigpio | |
| import RPi.GPIO as GPIO | |
| class PWM: | |
| def __init__(self): | |
| self.pi = pigpio.pi() | |
| self.freq = 100 | |
| self.steering = 0 | |
| self.acceleration = 0 | |
| self.gpioPinAcceleration = 18 |
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| def sendToGoogleDrive(fileName,filePath,pathToClientSecrets="/PATH/TO/credentials.json"): | |
| gauth = GoogleAuth() | |
| gauth.LoadClientConfigFile(pathToClientSecrets) # <----- | |
| drive = GoogleDrive(gauth) | |
| folder_id = 'XXXX' // example .../folders/XXXX or ..../folders/13vovGVWKWz1KvFmBFwjxIMCT5dE-WFSx | |
| file1 = drive.CreateFile({ | |
| 'title': 'data.csv', | |
| "mimeType": "text/csv", |
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| import http.server | |
| import socketserver | |
| class Handler(http.server.BaseHTTPRequestHandler): | |
| def do_GET(self): | |
| if self.path == '/data': # handle any GET requests to /data | |
| pass | |
| elif self.path == '/annotation':# handle any GET requests to /annotation | |
| pass | |
| def do_POST(self): # handle general post event |
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| import cv2 | |
| import numpy as np | |
| def calculate_hull(img,sensitivity=0.25): | |
| gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) | |
| gray = np.float32(gray) | |
| corners = cv2.goodFeaturesToTrack(gray, 100, sensitivity, 10) | |
| corners = np.int0(corners) | |
| hull = cv2.convexHull(corners) | |
| return hull |
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| def create3DFaces(sideHull,frontHull): | |
| sideHull = normalize(sideHull) | |
| frontHull = normalize(frontHull) | |
| sideHull = addZAxis(sideHull) | |
| frontHull = addZAxis(frontHull) | |
| frontHull = rotate_by_90(frontHull) | |
| frontHull,sideHull,hull_back = match_front_face(frontHull,sideHull) | |
| faces = construct_faces(frontHull,hull_back) | |
| faces = scale_down_faces(faces) | |
| return faces |
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| def get_mesh(self): | |
| if processor.ready_to_send(): | |
| faces = processor.get_faces() | |
| """Respond to a GET request.""" | |
| self.send_response(200) | |
| self.send_header("Content-type", "text") | |
| self.end_headers() | |
| for i in range(len(faces)): | |
| self.wfile.write("N".encode()) | |
| self.wfile.write(str(len(faces[i])).encode()) |
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| def deal_post_data(self): | |
| ctype, pdict = cgi.parse_header(self.headers['Content-Type']) | |
| pdict['boundary'] = bytes(pdict['boundary'], "utf-8") | |
| pdict['CONTENT-LENGTH'] = int(self.headers['Content-Length']) | |
| if ctype == 'multipart/form-data': | |
| form = cgi.FieldStorage( fp=self.rfile, headers=self.headers, environ={'REQUEST_METHOD':'POST', 'CONTENT_TYPE':self.headers['Content-Type'], }) | |
| # typeOfImage = form["Type"].value + '.png' | |
| bbox = { | |
| 'x':int(form["x"].value), | |
| 'y':int(form["y"].value), |
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| IEnumerator TakePhoto(string type) // Start this Coroutine on some button click | |
| { | |
| // NOTE - you almost certainly have to do this here: | |
| yield return new WaitForEndOfFrame(); | |
| Texture2D tex = new Texture2D(Screen.width, Screen.height,TextureFormat.RGB24, false); | |
| tex.ReadPixels(new Rect(0, 0, Screen.width, Screen.height), 0, 0); | |
| tex.Apply(); |
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| UnityWebRequest www = UnityWebRequest.Get("http://SERVERIP:PORT/data"); | |
| yield return www.SendWebRequest(); | |
| Debug.Log(www.responseCode); | |
| if(www.isNetworkError || www.isHttpError || www.responseCode == 500) { | |
| GameObject myObject = GameObject.Find("ARCamera"); | |
| myObject.GetComponent<Buttons>().showError("Need to Capture Front and Side!"); | |
| yield return new WaitForSeconds(3); | |
| myObject.GetComponent<Buttons>().clearError(); | |
| } |
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| public void OnTrackableStateChanged( | |
| TrackableBehaviour.Status previousStatus, | |
| TrackableBehaviour.Status newStatus) | |
| { | |
| if (newStatus == TrackableBehaviour.Status.DETECTED || | |
| newStatus == TrackableBehaviour.Status.TRACKED || | |
| newStatus == TrackableBehaviour.Status.EXTENDED_TRACKED) | |
| { | |
| Debug.Log("Detected"); |
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