added link to detect.py

win_venv/main.py

@@ -1,6 +1,6 @@
 #import tkinter as tk
 import sys
-import os
+import os, subprocess
 import shutil
 from datetime import datetime
 import time
@@ -18,9 +18,9 @@ LIB_VIS = 1
 
 
 def files(path):
-    for file in os.listdir(path):
-        if os.path.isfile(os.path.join(path, file)):
-            yield file
+    for subdir, dirs, files_list in os.walk(path): 
+        for file in files_list:
+            yield os.path.join(subdir, file)
 
 def save_input(oldpath):
     # make timestampt the filename, so it wouln't overwrite
@@ -55,7 +55,11 @@ class LibraryTableButtons(QWidget):
                 table.fillTable(type)
         
         def analyzeFile():
-            # todo: run script detect.py --source ../files/input/file.mp4
+            cmd = "py detect.py --source {} --view-img".format(str(file))
+
+            popen = subprocess.Popen(cmd, cwd="../yolov5/", stdout=subprocess.PIPE)
+            popen.wait()
+            # todo: display gif/spinning wheel
             pass
 
         layout = QHBoxLayout()
@@ -116,8 +120,9 @@ class LibraryTable(QTableWidget):
 
             dates = []
             names = [] 
+
             for index, file in enumerate(files(filePath)):
-                dates.append(QTableWidgetItem(str(datetime.fromtimestamp(os.path.getmtime(filePath + '/' + file)))))
+                dates.append(QTableWidgetItem(str(datetime.fromtimestamp(os.path.getmtime(file)))))
                 names.append(QTableWidgetItem(str(file)))
 
             self.setRowCount(len(dates))
@@ -125,7 +130,7 @@ class LibraryTable(QTableWidget):
             for index, date in enumerate(dates):
                 self.setItem(index,0,date)
                 self.setItem(index,1,names[index])
-                self.setCellWidget(index,2,LibraryTableButtons(filePath + '\\' + names[index].text(), self, type))
+                self.setCellWidget(index,2,LibraryTableButtons(names[index].text(), self, type))
 
 
 class formatHelp(QLabel):

yolov5/detect.py

@@ -237,7 +237,7 @@ def detect(save_img=False):
                         h = int(vid_cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
                         vid_writer = cv2.VideoWriter(save_path, cv2.VideoWriter_fourcc(*fourcc), fps, (w, h))
                     vid_writer.write(im0)
-
+    print(save_path)
     if save_txt or save_img:
         s = f"\n{len(list(save_dir.glob('labels/*.txt')))} labels saved to {save_dir / 'labels'}" if save_txt else ''
         print(f"Results saved to {save_dir}{s}")
@@ -260,7 +260,7 @@ if __name__ == '__main__':
     parser.add_argument('--agnostic-nms', action='store_true', help='class-agnostic NMS')
     parser.add_argument('--augment', action='store_true', help='augmented inference')
     parser.add_argument('--update', action='store_true', help='update all models')
-    parser.add_argument('--project', default='../files/output', help='save results to project/name')
+    parser.add_argument('--project', default='../win_venv/files/output', help='save results to project/name')
     parser.add_argument('--name', default='exp', help='save results to project/name')
     parser.add_argument('--exist-ok', action='store_true', help='existing project/name ok, do not increment')
     parser.add_argument("--config_deepsort", type=str, default="deep_sort_pytorch/configs/deep_sort.yaml")

yolov5/utils/datasets.py

@@ -170,7 +170,8 @@ class LoadImages:  # for inference
                     ret_val, img0 = self.cap.read()
 
             self.frame += 1
-            print('video %g/%g (%g/%g) %s: ' % (self.count + 1, self.nf, self.frame, self.nframes, path), end='')
+            # print('video %g/%g (%g/%g) %s: ' % (self.count + 1, self.nf, self.frame, self.nframes, path), end='')
+            print('video %g/%g (%g/%g) : ' % (self.count + 1, self.nf, self.frame, self.nframes), end='')
 
         else:
             # Read image