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Added frame number to infer text result #615

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Added frame number to infer text result #615

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11 changes: 8 additions & 3 deletions yolov6/core/inferer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,8 @@ def infer(self, conf_thres, iou_thres, classes, agnostic_nms, max_det, save_dir,
''' Model Inference and results visualization '''
vid_path, vid_writer, windows = None, None, []
fps_calculator = CalcFPS()
for img_src, img_path, vid_cap in tqdm(self.files):
frame_num = 0
for img_src, img_path, vid_cap in tqdm(self.files):
img, img_src = self.precess_image(img_src, self.img_size, self.stride, self.half)
img = img.to(self.device)
if len(img.shape) == 3:
Expand Down Expand Up @@ -97,7 +98,7 @@ def infer(self, conf_thres, iou_thres, classes, agnostic_nms, max_det, save_dir,
for *xyxy, conf, cls in reversed(det):
if save_txt: # Write to file
xywh = (self.box_convert(torch.tensor(xyxy).view(1, 4)) / gn).view(-1).tolist() # normalized xywh
line = (cls, *xywh, conf)
line = (cls, *xywh, conf, frame_num)
with open(txt_path + '.txt', 'a') as f:
f.write(('%g ' * len(line)).rstrip() % line + '\n')

Expand All @@ -107,7 +108,7 @@ def infer(self, conf_thres, iou_thres, classes, agnostic_nms, max_det, save_dir,

self.plot_box_and_label(img_ori, max(round(sum(img_ori.shape) / 2 * 0.003), 2), xyxy, label, color=self.generate_colors(class_num, True))

img_src = np.asarray(img_ori)
img_src = np.asarray(img_ori)

# FPS counter
fps_calculator.update(1.0 / (t2 - t1))
Expand Down Expand Up @@ -150,6 +151,10 @@ def infer(self, conf_thres, iou_thres, classes, agnostic_nms, max_det, save_dir,
save_path = str(Path(save_path).with_suffix('.mp4')) # force *.mp4 suffix on results videos
vid_writer = cv2.VideoWriter(save_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (w, h))
vid_writer.write(img_src)

# increment frame number
frame_num += 1


@staticmethod
def precess_image(img_src, img_size, stride, half):
Expand Down