PyTorch_YOWO
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yjh0410
accuracy not as good as YOWO-Plus's
This is the result after 5 eopch of iteration，The video's accuracy is not there. But frame's accuracy is about the same as YOWO-Plus，So I'm a little puzzled and hope to get your answer V-mAP @ 0.05 IoU: --Per AP: [0.11, 0.05, 65.67, 97.17, 83.52, 100.0, 79.01, 100.0, 99.94, 96.08, 44.86, 93.51, 92.12, 100.0, 22.86, 97.59, 90.93, 96.55, 94.83, 63.46, 74.07, 48.76, 82.94, 88.3] --mAP: 75.51
V-mAP @ 0.1 IoU: --Per AP: [0.06, 0.0, 65.67, 94.22, 83.52, 100.0, 79.01, 100.0, 99.94, 96.08, 44.86, 93.51, 92.12, 100.0, 22.86, 97.59, 90.93, 96.55, 94.83, 63.46, 71.43, 48.76, 82.94, 88.3] --mAP: 75.28
V-mAP @ 0.2 IoU: --Per AP: [0.03, 0.0, 61.42, 91.4, 60.2, 100.0, 79.01, 100.0, 91.87, 96.08, 44.86, 90.6, 92.12, 100.0, 20.97, 97.59, 90.93, 96.55, 94.83, 63.46, 43.21, 47.51, 51.2, 88.3] --mAP: 70.92
V-mAP @ 0.3 IoU: --Per AP: [0.0, 0.0, 61.42, 72.45, 12.11, 88.2, 74.27, 100.0, 91.87, 93.52, 44.86, 88.11, 92.12, 100.0, 15.16, 97.59, 90.39, 96.55, 94.83, 51.36, 23.91, 45.08, 5.4, 83.68] --mAP: 63.45
V-mAP @ 0.5 IoU: --Per AP: [0.0, 0.0, 56.11, 33.23, 2.35, 44.21, 54.56, 100.0, 64.13, 91.44, 42.2, 71.48, 65.27, 100.0, 2.76, 97.59, 90.39, 89.4, 91.42, 45.01, 0.97, 20.9, 0.0, 66.03] --mAP: 51.23
V-mAP @ 0.75 IoU: --Per AP: [0.0, 0.0, 33.41, 0.0, 0.0, 3.7, 7.08, 75.5, 8.17, 35.82, 7.45, 31.58, 1.01, 61.67, 0.4, 78.97, 48.05, 26.43, 83.1, 13.05, 0.0, 0.64, 0.0, 29.94] --mAP: 22.75
AP: 81.57% (1) AP: 96.60% (10) AP: 80.04% (11) AP: 67.44% (12) AP: 78.58% (13) AP: 97.21% (14) AP: 91.69% (15) AP: 91.55% (16) AP: 76.06% (17) AP: 90.41% (18) AP: 97.96% (19) AP: 73.44% (2) AP: 92.93% (20) AP: 86.83% (21) AP: 78.60% (22) AP: 75.65% (23) AP: 90.88% (24) AP: 86.96% (3) AP: 79.17% (4) AP: 71.25% (5) AP: 95.83% (6) AP: 92.93% (7) AP: 93.58% (8) AP: 97.20% (9)
mAP: 86.01%
But the video map is low compared to your results，I don't know why
---Original--- From: "Jianhua @.> Date: Mon, Nov 7, 2022 08:52 AM To: @.>; Cc: @.@.>; Subject: Re: [yjh0410/PyTorch_YOWO] accuracy not as good as YOWO-Plus's (Issue#6)
@luyuanmeng It seems that the model you trained achieves a better results.
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@luyuanmeng Your [email protected] is 51.23%, better than mine (50% V-mAP). Since the model will be saved after each epoch, you could evaluate the model saved after 3, 4, and 5 epoch. On th other hand, I notice that your [email protected] and [email protected] results are significantly lower than mine, but I don't think it is a serious problem. [email protected] and [email protected] are low quality indicators. You just need to pay more attention to [email protected].
Got it. Thank you.
---Original--- From: "Jianhua @.> Date: Mon, Nov 7, 2022 09:11 AM To: @.>; Cc: @.@.>; Subject: Re: [yjh0410/PyTorch_YOWO] accuracy not as good as YOWO-Plus's (Issue#6)
@luyuanmeng Your @.*** is 51.23%, better than mine (50% V-mAP). Since the model will be saved after each epoch, you could evaluate the model saved after 3, 4, and 5 epoch. On th other hand, I notice that your @.*** and @.*** results are significantly lower than mine, but I don't think it is a serious problem. @.*** and @.*** are low quality indicators. You just need to pay more attention to @.***
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>