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https://github.com/esimov/pigo.git
synced 2025-10-26 01:10:33 +08:00
Fixed Windows error on talk detector demo
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@@ -35,6 +35,7 @@ func main() {}
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//export FindFaces
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func FindFaces(pixels []uint8) uintptr {
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var talking int
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pointCh := make(chan uintptr)
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results := clusterDetection(pixels, 480, 640)
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@@ -112,8 +113,13 @@ func FindFaces(pixels []uint8) uintptr {
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dist1 := math.Sqrt(math.Pow(float64(p2.y-p1.y), 2) + math.Pow(float64(p2.x-p1.x), 2))
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dist2 := math.Sqrt(math.Pow(float64(p4.y-p3.y), 2) + math.Pow(float64(p4.x-p3.x), 2))
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mar := int(round((dist1 / dist2) * 0.19))
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dets[i] = append(dets[i], flp.Row, flp.Col, int(flp.Scale), int(results[i].Q), 3, mar)
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mar := (dist1 / dist2) * 0.19
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if mar < 0.4 {
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talking = 1
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} else {
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talking = 0
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}
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dets[i] = append(dets[i], flp.Row, flp.Col, int(flp.Scale), int(results[i].Q), 3, talking)
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}
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coords := make([]int, 0, len(dets))
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@@ -68,7 +68,7 @@ typedef struct { void *data; GoInt len; GoInt cap; } GoSlice;
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extern "C" {
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#endif
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extern GoUintptr FindFaces(GoSlice pixels);
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extern __declspec(dllexport) GoUintptr FindFaces(GoSlice pixels);
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#ifdef __cplusplus
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}
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@@ -1,19 +1,16 @@
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from ctypes import *
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import subprocess
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import numpy as np
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import os
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import cv2
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import time
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os.system('go build -o talkdet.so -buildmode=c-shared talkdet.go')
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pigo = cdll.LoadLibrary('./talkdet.so')
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os.system('rm talkdet.so')
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MAX_NDETS = 2024
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ARRAY_DIM = 6
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NUM_LP = 95
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MOUTH_AR_THRESH = 0.2
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MOUTH_AR_CONSEC_FRAMES = 5
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def verify_alpha_channel(frame):
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@@ -65,7 +62,7 @@ def process_frame(pixs):
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buffarr = ((c_longlong * ARRAY_DIM) *
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MAX_NDETS).from_address(addressof(data_pointer.contents))
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res = np.ndarray(buffer=buffarr, dtype=c_longlong,
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shape=(MAX_NDETS, ARRAY_DIM,))
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shape=(NUM_LP, ARRAY_DIM,))
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# The first value of the buffer aray represents the buffer length.
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dets_len = res[0][0]
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@@ -81,10 +78,6 @@ cap = cv2.VideoCapture(0)
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cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
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cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
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# Changing the camera resolution introduce a short delay in the camera initialization.
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# For this reason we should delay the object detection process with a few milliseconds.
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time.sleep(0.4)
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showFaceDet = False
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showPupil = True
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showLandmarkPoints = True
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@@ -110,7 +103,11 @@ while(True):
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if det_type == 0: # 0 == face;
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face_col, face_row, face_dim = col, row, scale
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if showFaceDet:
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cv2.rectangle(frame, (col-scale/2, row-scale/2), (col+scale/2, row+scale/2), (0, 0, 255), 2)
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cv2.rectangle(frame,
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(int(col)-int(scale/2), int(row)-int(scale/2)),
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(int(col)+int(scale/2), int(row)+int(scale/2)),
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(0, 0, 255), 2
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)
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elif det_type == 1: # 1 == pupil;
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if showPupil:
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cv2.circle(frame, (int(col), int(row)), 4, (0, 0, 255), -1, 8, 0)
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@@ -118,7 +115,7 @@ while(True):
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if showLandmarkPoints:
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cv2.circle(frame, (int(col), int(row)), 4, (0, 255, 0), -1, 8, 0)
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elif det_type == 3:
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if mouth_ar < MOUTH_AR_THRESH: # mouth is open
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if mouth_ar == 1: # mouth is open
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talking = True
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counter = 0
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else: # mouth is closed
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@@ -130,10 +127,10 @@ while(True):
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if talking and counter < MOUTH_AR_CONSEC_FRAMES:
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frame = apply_circle_focus_blur(frame, face_col, face_row, face_dim, 25)
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cv2.putText(frame, "Bla bla bla...", (10, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
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cv2.putText(frame, "Person talking...", (10, 30),
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cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 1)
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cv2.imshow('', frame)
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cv2.imshow('Talk detection demo', frame)
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key = cv2.waitKey(1)
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if key & 0xFF == ord('q'):
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