diff --git a/data/data.yaml b/data/data.yaml
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--- /dev/null
+++ b/data/data.yaml
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+
+train: ../data/train
+val: ../data/val
+test: ../data/test
+
+nc: 3
+names: ['without_mask', 'mask_weared_incorrect', 'with_mask']
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new file mode 100644
index 0000000000000000000000000000000000000000..2fe54d03afad81df15f354c3e54eb3b2257697bf
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..8c409b1a91c90008818a1a7532892b056fa20d41
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..d8e157327716fdcb78b31b53c687b88014cb244b
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new file mode 100644
index 0000000000000000000000000000000000000000..be74c86baff8ae3b68f2e263cfa8cb0752b86baa
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..aaaf29b29c5a6d328f2936a46da83230bb333f8d
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..9d69da233abfbebd83669cd04aefca0d6f160e16
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new file mode 100644
index 0000000000000000000000000000000000000000..aa2efd95bd19e25fe6fbb62823c661db7268f798
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/data/val/labels/maksssksksss105.txt b/data/val/labels/maksssksksss105.txt
new file mode 100644
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diff --git a/data/val/labels/maksssksksss11.txt b/data/val/labels/maksssksksss11.txt
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diff --git a/data/val/labels/maksssksksss115.txt b/data/val/labels/maksssksksss115.txt
new file mode 100644
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diff --git a/data/val/labels/maksssksksss116.txt b/data/val/labels/maksssksksss116.txt
new file mode 100644
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--- /dev/null
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diff --git a/data/val/labels/maksssksksss126.txt b/data/val/labels/maksssksksss126.txt
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diff --git a/data/val/labels/maksssksksss13.txt b/data/val/labels/maksssksksss13.txt
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diff --git a/data/val/labels/maksssksksss133.txt b/data/val/labels/maksssksksss133.txt
new file mode 100644
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diff --git a/data/val/labels/maksssksksss141.txt b/data/val/labels/maksssksksss141.txt
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diff --git a/data/val/labels/maksssksksss150.txt b/data/val/labels/maksssksksss150.txt
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diff --git a/data/val/labels/maksssksksss153.txt b/data/val/labels/maksssksksss153.txt
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diff --git a/data/val/labels/maksssksksss170.txt b/data/val/labels/maksssksksss170.txt
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diff --git a/data/val/labels/maksssksksss176.txt b/data/val/labels/maksssksksss176.txt
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diff --git a/data/val/labels/maksssksksss183.txt b/data/val/labels/maksssksksss183.txt
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new file mode 100644
index 0000000000000000000000000000000000000000..c9b16e2ce60391031da301eba2b3b3f151833a63
--- /dev/null
+++ b/data/val/labels/maksssksksss215.txt
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diff --git a/data/val/labels/maksssksksss223.txt b/data/val/labels/maksssksksss223.txt
new file mode 100644
index 0000000000000000000000000000000000000000..604171fe7b5d0847b67a1238dc64952a37c3972e
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new file mode 100644
index 0000000000000000000000000000000000000000..94b0f524ee8f551600252176e86fa6d421f1cd6a
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new file mode 100644
index 0000000000000000000000000000000000000000..a849bd408956ee87bf64d3c8fab32858619159f2
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new file mode 100644
index 0000000000000000000000000000000000000000..f1d1ae294be9182c31df2f4159b480c7cb93be5c
--- /dev/null
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index 0000000000000000000000000000000000000000..0e45781572da0a375d788a5bc2654f7a368a3593
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new file mode 100644
index 0000000000000000000000000000000000000000..4822c3b25c6081cf4e22bdffdcd59c568f7bf199
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diff --git a/data/val/labels/maksssksksss246.txt b/data/val/labels/maksssksksss246.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5772d1e5f2559e3f22b920b8178de27fa50d75e6
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new file mode 100644
index 0000000000000000000000000000000000000000..054ec3291a9eb19481c98a6fae8943efd8be7b62
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diff --git a/data/val/labels/maksssksksss251.txt b/data/val/labels/maksssksksss251.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d71f5c105f79a37da1c85e92818f3dcdda2f2597
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new file mode 100644
index 0000000000000000000000000000000000000000..83b25c30fbc44537a59372360187f23fae73a027
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new file mode 100644
index 0000000000000000000000000000000000000000..4b58fb0f9ead625ce1cc3b9a16750909a79f2b83
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diff --git a/data/val/labels/maksssksksss261.txt b/data/val/labels/maksssksksss261.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c923cd432a4e5f08c35faa478f690a6868baa129
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diff --git a/data/val/labels/maksssksksss262.txt b/data/val/labels/maksssksksss262.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2dc8c57329d20704c52a3b6ca9cb1dbd47df3859
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diff --git a/data/val/labels/maksssksksss263.txt b/data/val/labels/maksssksksss263.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2410d3be88e6a5497edea8e9f089e41e039a8b89
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new file mode 100644
index 0000000000000000000000000000000000000000..146a95a070fd74750f82bb265bbe4bc877d79519
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diff --git a/data/val/labels/maksssksksss27.txt b/data/val/labels/maksssksksss27.txt
new file mode 100644
index 0000000000000000000000000000000000000000..39eaea084e57b73d0dc59961d93d19b2a882da63
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new file mode 100644
index 0000000000000000000000000000000000000000..83e6349a1ba9ce8114aca944ef09ef6ab8f7a2cc
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diff --git a/data/val/labels/maksssksksss28.txt b/data/val/labels/maksssksksss28.txt
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index 0000000000000000000000000000000000000000..a97faf6a3bbadc7836f7e9ef0a915b465367590a
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new file mode 100644
index 0000000000000000000000000000000000000000..2f3a2fe5da0b79925e2d36a4bea28479ec6404e5
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new file mode 100644
index 0000000000000000000000000000000000000000..45482160a54607c43eaff68ce60e03b5f64d3d70
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index 0000000000000000000000000000000000000000..684ca25a8c9a12740d45c489cda86ba1864c77e4
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new file mode 100644
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diff --git a/data/val/labels/maksssksksss297.txt b/data/val/labels/maksssksksss297.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4aefdc95e2f8b996e2f0f4ab043be6f5b4de05f9
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new file mode 100644
index 0000000000000000000000000000000000000000..35fd137e3118daaaf2bfa5cb38372ba1a0fcafca
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new file mode 100644
index 0000000000000000000000000000000000000000..112a5938e1053fa99ac9dbcf3036686091e2a01c
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new file mode 100644
index 0000000000000000000000000000000000000000..2dd76422e39519e15231da827b10091961eae9b9
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new file mode 100644
index 0000000000000000000000000000000000000000..b15530a6eec9fe38031e6e962849cfe928319a18
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index 0000000000000000000000000000000000000000..92493f57f36438c387d5dfee1af66ef76c9e7c96
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new file mode 100644
index 0000000000000000000000000000000000000000..65ebb9de191aee1d1e604a2150b420ebe8d238ac
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new file mode 100644
index 0000000000000000000000000000000000000000..96ffbbe3624735842c931f19510e54c8ba939546
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new file mode 100644
index 0000000000000000000000000000000000000000..0545fa9ccc48dde9f31a8926486bdf2e45aec63b
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new file mode 100644
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..ac1522271cd7c3083ee9660600bd520ad02303a2
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new file mode 100644
index 0000000000000000000000000000000000000000..aff78115c71acea170f90541eb1216a24f91a098
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new file mode 100644
index 0000000000000000000000000000000000000000..b812ac6db06c843555f6bfb6262d7885aabae3c2
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..6d758e9b48ca3b716041723dea9c14b023b21885
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new file mode 100644
index 0000000000000000000000000000000000000000..606a1fed3a876c47311b9c7d3cf9fb5dd54c9a95
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new file mode 100644
index 0000000000000000000000000000000000000000..4c60acc9f233be70866a2b30070f6a71539a95a5
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new file mode 100644
index 0000000000000000000000000000000000000000..96547e87a639ffe2363a3cfd57b6648c59f6c095
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new file mode 100644
index 0000000000000000000000000000000000000000..a75b2266a31a7750954c0bfb9f3151641f7f473b
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index 0000000000000000000000000000000000000000..96882334b949746017849ca8f5025a03367e5737
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new file mode 100644
index 0000000000000000000000000000000000000000..06216cffbbd18f411f3915bf7da37755c14b979f
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new file mode 100644
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new file mode 100644
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new file mode 100644
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+++ b/data/val/labels/maksssksksss449.txt
@@ -0,0 +1,4 @@
+2 0.265 0.18766404199475065 0.06 0.06036745406824147
+2 0.33875 0.21653543307086615 0.0575 0.05511811023622047
+2 0.42875 0.16010498687664043 0.0725 0.08923884514435695
+2 0.7000000000000001 0.6797900262467191 0.075 0.08923884514435695
diff --git a/data/val/labels/maksssksksss451.txt b/data/val/labels/maksssksksss451.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c8a66c0f16d2154817d829ddbda549452d2c8175
--- /dev/null
+++ b/data/val/labels/maksssksksss451.txt
@@ -0,0 +1,13 @@
+2 0.055 0.02564102564102564 0.055 0.04395604395604395
+2 0.32625 0.0641025641025641 0.0525 0.07692307692307693
+2 0.25875 0.17399267399267399 0.0525 0.08424908424908426
+0 0.425 0.06776556776556776 0.045 0.0695970695970696
+2 0.34750000000000003 0.19047619047619047 0.065 0.10989010989010989
+2 0.065 0.6996336996336996 0.12 0.3076923076923077
+0 0.5925 0.21062271062271062 0.035 0.0695970695970696
+0 0.55375 0.26556776556776557 0.0575 0.08424908424908426
+2 0.49625 0.42124542124542125 0.0725 0.11721611721611722
+2 0.6900000000000001 0.14102564102564102 0.055 0.0989010989010989
+2 0.8300000000000001 0.19963369963369965 0.045 0.08424908424908426
+2 0.78125 0.47985347985347987 0.0725 0.10256410256410256
+2 0.93625 0.3553113553113553 0.0575 0.08058608058608059
diff --git a/data/val/labels/maksssksksss452.txt b/data/val/labels/maksssksksss452.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e99220a40ba1bba722381f7e3400567a094edac5
--- /dev/null
+++ b/data/val/labels/maksssksksss452.txt
@@ -0,0 +1,3 @@
+2 0.14 0.25259515570934254 0.085 0.1384083044982699
+2 0.35625 0.28027681660899656 0.0675 0.10380622837370243
+2 0.7175 0.328719723183391 0.075 0.11072664359861592
diff --git a/data/val/labels/maksssksksss457.txt b/data/val/labels/maksssksksss457.txt
new file mode 100644
index 0000000000000000000000000000000000000000..900e41a534251f48c512fe022a3c87147ebcc02f
--- /dev/null
+++ b/data/val/labels/maksssksksss457.txt
@@ -0,0 +1,6 @@
+2 0.72875 0.4 0.1075 0.14666666666666667
+2 0.52125 0.26666666666666666 0.0975 0.13333333333333333
+2 0.34 0.28833333333333333 0.07 0.09000000000000001
+0 0.058750000000000004 0.29500000000000004 0.08750000000000001 0.1366666666666667
+2 0.8562500000000001 0.33666666666666667 0.0425 0.060000000000000005
+2 0.9875 0.2316666666666667 0.03 0.09000000000000001
diff --git a/data/val/labels/maksssksksss466.txt b/data/val/labels/maksssksksss466.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a2123776d250735121e8d5e0ced2de88cdd2535e
--- /dev/null
+++ b/data/val/labels/maksssksksss466.txt
@@ -0,0 +1,4 @@
+2 0.08 0.44569288389513106 0.105 0.2247191011235955
+2 0.24125 0.3202247191011236 0.1275 0.19101123595505617
+2 0.42375 0.5318352059925093 0.1375 0.18726591760299627
+2 0.71875 0.2940074906367041 0.1125 0.19101123595505617
diff --git a/data/val/labels/maksssksksss469.txt b/data/val/labels/maksssksksss469.txt
new file mode 100644
index 0000000000000000000000000000000000000000..206fd1663edbd21080b04b35b95c72ae641f723e
--- /dev/null
+++ b/data/val/labels/maksssksksss469.txt
@@ -0,0 +1,2 @@
+2 0.51125 0.46140939597315433 0.1925 0.25167785234899326
+2 0.71125 0.4983221476510067 0.1525 0.15771812080536912
diff --git a/data/val/labels/maksssksksss471.txt b/data/val/labels/maksssksksss471.txt
new file mode 100644
index 0000000000000000000000000000000000000000..af66f0409a026d890dc85f1dfcca2bc2626f29a8
--- /dev/null
+++ b/data/val/labels/maksssksksss471.txt
@@ -0,0 +1,5 @@
+2 0.20625000000000002 0.3066666666666667 0.08750000000000001 0.14
+0 0.35875 0.24833333333333335 0.0475 0.09000000000000001
+0 0.4525 0.1716666666666667 0.065 0.11
+2 0.93625 0.21166666666666667 0.0575 0.07666666666666667
+2 0.86625 0.28833333333333333 0.0525 0.05666666666666667
diff --git a/data/val/labels/maksssksksss474.txt b/data/val/labels/maksssksksss474.txt
new file mode 100644
index 0000000000000000000000000000000000000000..59ab13a4e19784ddea38ba3c5a7433a8d18aed26
--- /dev/null
+++ b/data/val/labels/maksssksksss474.txt
@@ -0,0 +1,4 @@
+2 0.04125 0.6760299625468165 0.0775 0.1310861423220974
+2 0.15625 0.6404494382022472 0.0675 0.0898876404494382
+2 0.41500000000000004 0.20973782771535582 0.06 0.08239700374531836
+2 0.6225 0.12734082397003746 0.055 0.09737827715355805
diff --git a/data/val/labels/maksssksksss475.txt b/data/val/labels/maksssksksss475.txt
new file mode 100644
index 0000000000000000000000000000000000000000..490c92a00b1dfe9986a01f36864965751dca640b
--- /dev/null
+++ b/data/val/labels/maksssksksss475.txt
@@ -0,0 +1,6 @@
+2 0.1475 0.3089887640449438 0.07 0.10112359550561797
+2 0.30375 0.3539325842696629 0.0625 0.10861423220973783
+2 0.4525 0.3071161048689139 0.085 0.1348314606741573
+2 0.6375000000000001 0.41760299625468167 0.06 0.11610486891385768
+0 0.8025 0.40074906367041196 0.09 0.17228464419475656
+2 0.9025 0.32209737827715357 0.055 0.14232209737827717
diff --git a/data/val/labels/maksssksksss485.txt b/data/val/labels/maksssksksss485.txt
new file mode 100644
index 0000000000000000000000000000000000000000..da8d40d0b398228047b3d7078724e504f00d68b2
--- /dev/null
+++ b/data/val/labels/maksssksksss485.txt
@@ -0,0 +1 @@
+2 0.6096345514950167 0.83375 0.27574750830564787 0.2675
diff --git a/data/val/labels/maksssksksss491.txt b/data/val/labels/maksssksksss491.txt
new file mode 100644
index 0000000000000000000000000000000000000000..fbb2feb3d72682274c0d83821440b5385ddcc459
--- /dev/null
+++ b/data/val/labels/maksssksksss491.txt
@@ -0,0 +1 @@
+2 0.5730897009966778 0.495 0.31561461794019935 0.33
diff --git a/data/val/labels/maksssksksss496.txt b/data/val/labels/maksssksksss496.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3952a23576a338e52aa9120bcbd620e6bc860114
--- /dev/null
+++ b/data/val/labels/maksssksksss496.txt
@@ -0,0 +1 @@
+1 0.5037453183520599 0.38 0.3707865168539326 0.275
diff --git a/data/val/labels/maksssksksss497.txt b/data/val/labels/maksssksksss497.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d0a9a782f3d876425b2245c11072fa8693f0db1c
--- /dev/null
+++ b/data/val/labels/maksssksksss497.txt
@@ -0,0 +1 @@
+2 0.5066445182724253 0.69625 0.27574750830564787 0.2625
diff --git a/data/val/labels/maksssksksss500.txt b/data/val/labels/maksssksksss500.txt
new file mode 100644
index 0000000000000000000000000000000000000000..791c77dfc23fce4d068b14807a21d728362a3896
--- /dev/null
+++ b/data/val/labels/maksssksksss500.txt
@@ -0,0 +1 @@
+2 0.5465116279069767 0.7475 0.34219269102990035 0.34500000000000003
diff --git a/data/val/labels/maksssksksss508.txt b/data/val/labels/maksssksksss508.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5ab803ca1733cd98c7a8106176309d36f6a5dee1
--- /dev/null
+++ b/data/val/labels/maksssksksss508.txt
@@ -0,0 +1,4 @@
+2 0.26875 0.5604166666666667 0.1925 0.3208333333333333
+2 0.5625 0.29375 0.145 0.2708333333333333
+2 0.715 0.5291666666666667 0.165 0.30833333333333335
+2 0.8612500000000001 0.4125 0.0925 0.18333333333333332
diff --git a/data/val/labels/maksssksksss520.txt b/data/val/labels/maksssksksss520.txt
new file mode 100644
index 0000000000000000000000000000000000000000..08ad79c0bce4c34a8cf4602218f4b96553e6616e
--- /dev/null
+++ b/data/val/labels/maksssksksss520.txt
@@ -0,0 +1 @@
+2 0.32558139534883723 0.5962500000000001 0.37209302325581395 0.3275
diff --git a/data/val/labels/maksssksksss522.txt b/data/val/labels/maksssksksss522.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f58248c96759c6eaa6303b426c34237402bcfd6f
--- /dev/null
+++ b/data/val/labels/maksssksksss522.txt
@@ -0,0 +1,3 @@
+0 0.033707865168539325 0.48125 0.0599250936329588 0.0925
+0 0.4906367041198502 0.395 0.14232209737827717 0.12
+0 0.5093632958801498 0.51375 0.0898876404494382 0.0625
diff --git a/data/val/labels/maksssksksss523.txt b/data/val/labels/maksssksksss523.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3486227a2e1879805f6d5ebdc0d40744f8a1bad8
--- /dev/null
+++ b/data/val/labels/maksssksksss523.txt
@@ -0,0 +1,2 @@
+0 0.31 0.5280898876404494 0.215 0.36704119850187267
+2 0.5750000000000001 0.5 0.19 0.2808988764044944
diff --git a/data/val/labels/maksssksksss528.txt b/data/val/labels/maksssksksss528.txt
new file mode 100644
index 0000000000000000000000000000000000000000..dfb8e0ee63d6bdcf4124accacf00d009b67d39dc
--- /dev/null
+++ b/data/val/labels/maksssksksss528.txt
@@ -0,0 +1 @@
+0 0.31893687707641194 0.5962500000000001 0.35215946843853824 0.34750000000000003
diff --git a/data/val/labels/maksssksksss537.txt b/data/val/labels/maksssksksss537.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c93ea0f5f26d1f90db3be9f57de3d89426fd9ab2
--- /dev/null
+++ b/data/val/labels/maksssksksss537.txt
@@ -0,0 +1 @@
+0 0.48172757475083056 0.59 0.33222591362126247 0.295
diff --git a/data/val/labels/maksssksksss544.txt b/data/val/labels/maksssksksss544.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8d4d2b35177c9b6c0c6bae7be0e859519a47869c
--- /dev/null
+++ b/data/val/labels/maksssksksss544.txt
@@ -0,0 +1 @@
+0 0.6395348837209303 0.655 0.31561461794019935 0.31
diff --git a/data/val/labels/maksssksksss551.txt b/data/val/labels/maksssksksss551.txt
new file mode 100644
index 0000000000000000000000000000000000000000..79ee4871086f1dee5a6c4a8e51f6737174ba273f
--- /dev/null
+++ b/data/val/labels/maksssksksss551.txt
@@ -0,0 +1,5 @@
+2 0.15375 0.2902621722846442 0.10250000000000001 0.16104868913857678
+2 0.41875 0.4756554307116105 0.0925 0.14232209737827717
+2 0.68125 0.6179775280898876 0.08750000000000001 0.14232209737827717
+2 0.9 0.601123595505618 0.09 0.1310861423220974
+2 0.555 0.49250936329588013 0.095 0.1310861423220974
diff --git a/dl_finalproject.py b/dl_finalproject.py
new file mode 100644
index 0000000000000000000000000000000000000000..ffc2ae32cf85009b42745b998de621ae7c525e14
--- /dev/null
+++ b/dl_finalproject.py
@@ -0,0 +1,167 @@
+# -*- coding: utf-8 -*-
+"""DL_finalProject.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/10aj1WXX-L9ZzCbSXCLN1D3X6Pwbf1OCr
+"""
+
+# Commented out IPython magic to ensure Python compatibility.
+# 連結google drive
+from google.colab import drive
+drive.mount('/content/drive/')
+# %cd /content/drive/MyDrive/AI/DL_finalProject
+
+!pip install -q kaggle
+
+# 上傳kaggle.json
+from google.colab import files
+uploaded = files.upload()
+
+!mkdir ~/.kaggle
+!cp kaggle.json ~/.kaggle/
+!chmod 600 ~/.kaggle/kaggle.json
+
+import kaggle
+# download API
+!kaggle datasets download -d andrewmvd/face-mask-detection
+
+# 將檔案解壓縮並放至指定資料夾
+!unzip face-mask-detection.zip
+
+# 載入與創建資料夾
+from pathlib import Path
+images_dir= Path('images')
+annotations_dir= Path('annotations')
+
+labels_dir = Path('labels')
+if not labels_dir.exists():
+  !mkdir -p labels
+
+import xml.etree.ElementTree as ET
+import os
+
+# 將bbox轉換成yolov7可訓練的格式
+def convert_bbox(size, box):
+  dw = 1. / size[0]
+  dh = 1. / size[1]
+  x = (box[0] + box[1]) / 2.0
+  y = (box[2] + box[3]) / 2.0
+  w = box[1] - box[0]
+  h = box[3] - box[2]
+  return (x * dw, y * dh, w * dw, h * dh)
+
+classes = {'without_mask': 0 ,'mask_weared_incorrect': 1 ,'with_mask': 2}
+
+# 遍歷annotations文件夾中的所有.xml文件
+for xml_file in os.listdir(annotations_dir):
+  if not xml_file.endswith('.xml'):
+    continue
+  tree = ET.parse(os.path.join(annotations_dir, xml_file))
+  root = tree.getroot()
+
+  # 擷取圖片寬度及高度資訊
+  size = root.find('size')
+  w = int(size.find('width').text)
+  h = int(size.find('height').text)
+
+  # 創建對應的txt文件
+  txt_file = xml_file.replace('.xml', '.txt')
+  with open(os.path.join(labels_dir, txt_file), 'w') as f:
+    for obj in root.iter('object'):
+        # 讀取類別名稱
+        cls = obj.find('name').text
+        # 讀取bbox資訊
+        xmlbox = obj.find('bndbox')
+        b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text),
+                float(xmlbox.find('ymin').text), float(xmlbox.find('ymax').text))
+        bb = convert_bbox((w, h), b)
+        f.write(f"{classes[cls]} {bb[0]} {bb[1]} {bb[2]} {bb[3]}\n")
+
+import os, shutil, random
+
+# 設置比例
+train_ratio = 0.7
+val_ratio = 0.2
+test_ratio = 0.1
+
+# 準備文件夾
+base_dir = 'data'
+if not os.path.exists(base_dir):
+  os.makedirs(base_dir, exist_ok=True)
+
+for subset in ['train', 'val', 'test']:
+  for folder in ['images', 'labels']:
+    os.makedirs(f"{base_dir}/{subset}/{folder}", exist_ok=True)
+
+# 抓取圖片檔名（maksssksksss___.png）並打亂順序
+image_files = [f for f in os.listdir(images_dir)]
+random.seed(603)
+random.shuffle(image_files)
+
+# 計算集合大小
+total = len(image_files)
+train_size = int(total * train_ratio)
+val_size = int(total * val_ratio)
+print('train:', train_size, 'val:', val_size, 'test:', total-train_size-val_size)
+
+# 分割數據集
+train_files = image_files[:train_size]
+val_files = image_files[train_size:train_size + val_size]
+test_files = image_files[train_size + val_size:]
+
+# 移動文件
+for subset, files in [('train', train_files), ('val', val_files), ('test', test_files)]:
+  for file in files:
+    # images
+    src_img = os.path.join(images_dir, file)
+    dst_img = os.path.join(f"{base_dir}/{subset}/images", file)
+    shutil.copy(src_img, dst_img)
+
+    # labels
+    label_file = file.rsplit('.', 1)[0] + '.txt'
+    src_label = os.path.join(labels_dir, label_file)
+    dst_label = os.path.join(f"{base_dir}/{subset}/labels", label_file)
+    shutil.copy(src_label, dst_label)
+
+# 寫入data.yaml
+yaml= 'data/data.yaml'
+
+with open(yaml, 'w') as f:
+    f.write(f"""
+train: ../data/train
+val: ../data/val
+test: ../data/test
+
+nc: 3
+names: ['without_mask', 'mask_weared_incorrect', 'with_mask']
+""")
+
+# Commented out IPython magic to ensure Python compatibility.
+# 下載YOLOv7
+!git clone https://github.com/WongKinYiu/yolov7
+# %cd yolov7/
+!pip install -r requirements.txt
+
+# Commented out IPython magic to ensure Python compatibility.
+# %cd yolov7
+# 模型訓練
+!python train.py --img 640 \
+          --batch 16 \
+          --epochs 80 \
+          --data ../data/data.yaml \
+          --cfg cfg/training/yolov7.yaml \
+          --weights yolov7.pt \
+          --name results \
+          --device 0 \
+
+# Commented out IPython magic to ensure Python compatibility.
+# 模型測試
+# %cd yolov7
+!python test.py --data ../data/data.yaml\
+         --weights runs/train/results/weights/best.pt\
+         --batch-size 4\
+         --conf 0.2\
+         --img-size 640\
+         --task test
\ No newline at end of file
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diff --git a/runs/train/results/hyp.yaml b/runs/train/results/hyp.yaml
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--- /dev/null
+++ b/runs/train/results/hyp.yaml
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+lr0: 0.01
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+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
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+warmup_bias_lr: 0.1
+box: 0.05
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diff --git a/runs/train/results/opt.yaml b/runs/train/results/opt.yaml
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--- /dev/null
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+weights: yolov7.pt
+cfg: cfg/training/yolov7.yaml
+data: ../data/data.yaml
+hyp: data/hyp.scratch.p5.yaml
+epochs: 80
+batch_size: 16
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+- 640
+- 640
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+project: runs/train
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+name: results
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+      0/79      1.3G   0.08609   0.01929   0.02227    0.1276        49       640  0.006152   0.01524  0.001472 0.0005514    0.1052   0.03482   0.02119
+      1/79     12.6G   0.07323   0.01884   0.01508    0.1072        33       640   0.02877   0.09441   0.02227  0.004457   0.09496   0.03712   0.01816
+      2/79     12.2G   0.06315   0.01705    0.0121    0.0923        37       640    0.7849    0.1477    0.1351   0.03318   0.09027   0.03342   0.01721
+      3/79     13.2G   0.05765   0.01398   0.01143   0.08306        30       640    0.7205    0.1996    0.2404   0.07669   0.09388   0.02763   0.01568
+      4/79     13.2G   0.06193   0.01228    0.0107   0.08491        40       640    0.2594    0.3291    0.3028    0.1182   0.09215   0.02821   0.01525
+      5/79     13.2G   0.05776   0.01356   0.01023   0.08155        47       640    0.6813    0.4113    0.4054     0.186   0.08431     0.031   0.01512
+      6/79     13.2G    0.0536   0.01404  0.009916   0.07755        39       640    0.8008    0.4375    0.4763    0.2117   0.07635   0.03291   0.01464
+      7/79     13.2G   0.05064   0.01294  0.009041   0.07262        30       640    0.8545    0.4722    0.5173     0.269   0.07402   0.03298   0.01402
+      8/79     13.2G   0.04851   0.01315  0.008406   0.07007        41       640    0.7994    0.5375    0.5344    0.2318   0.06795   0.03431   0.01326
+      9/79     13.2G   0.04544   0.01331  0.007371   0.06611        19       640    0.8892    0.5451    0.5762    0.2737   0.06674   0.03258   0.01239
+     10/79     13.2G   0.04294    0.0126  0.006379   0.06192        34       640    0.8758    0.4998    0.5095    0.2306   0.06511   0.03029   0.01147
+     11/79     13.2G   0.04052   0.01221  0.006267     0.059        45       640    0.9486    0.5449    0.5983    0.3244   0.06163   0.02862   0.01114
+     12/79     13.2G   0.03885   0.01134  0.005674   0.05586        62       640    0.9425     0.556    0.6131    0.3049   0.06246   0.02755   0.01094
+     13/79     13.2G   0.04046   0.01155  0.005526   0.05754        24       640    0.9441    0.5509    0.5994     0.328   0.06197   0.02755   0.01067
+     14/79     13.2G   0.03954   0.01089  0.005125   0.05556        58       640    0.9163    0.5425    0.5949    0.3095   0.06144   0.02765   0.01015
+     15/79     13.2G   0.03869   0.01092  0.005198    0.0548       151       640    0.8752    0.5685    0.6116     0.358   0.05863   0.02732   0.01051
+     16/79     13.2G    0.0336    0.0103  0.004849   0.04876        42       640    0.9584     0.568    0.6295    0.3726   0.05417   0.02747   0.01002
+     17/79     13.2G   0.03427  0.009782  0.004724   0.04878        18       640    0.9379    0.5641    0.6292    0.3754     0.058   0.02723   0.00945
+     18/79     13.2G   0.03115   0.01087  0.004445   0.04647        43       640    0.9409    0.5759    0.6289    0.3677   0.05584   0.02818  0.009466
+     19/79     13.2G   0.03098  0.009827  0.004132   0.04494        25       640    0.9399    0.5899    0.6393    0.3906   0.05212   0.02786  0.009436
+     20/79     13.2G   0.03017   0.01042  0.003624   0.04421        65       640    0.9181    0.5949    0.6436     0.382   0.05384   0.02819  0.009173
+     21/79     13.2G   0.03089   0.01019  0.003927   0.04501        76       640    0.9275    0.6064     0.658    0.4137   0.05175   0.02937  0.009022
+     22/79     13.2G   0.03144   0.01004  0.004117    0.0456        53       640    0.9321    0.5944    0.6716    0.3966   0.05292   0.02872  0.008998
+     23/79     13.2G   0.03129  0.009963  0.003942    0.0452        59       640    0.6307    0.7223    0.7198     0.401     0.055   0.02906  0.008772
+     24/79     13.2G   0.03018  0.009707  0.003632   0.04352        22       640    0.5789    0.7271    0.7024    0.4546   0.05071   0.02871   0.00853
+     25/79     13.2G   0.03037  0.009413  0.003552   0.04334        27       640    0.8397    0.7012    0.7321    0.4495   0.05246   0.02875   0.00861
+     26/79     13.2G   0.02844    0.0098  0.003303   0.04155        25       640    0.8241    0.7076    0.7295    0.4633    0.0509   0.02957  0.008858
+     27/79     13.2G   0.02721   0.01003  0.003625   0.04087        13       640    0.8479    0.7048    0.7469    0.4623   0.05218   0.02923  0.008363
+     28/79     13.2G    0.0265  0.009344  0.003264   0.03911        51       640    0.7863    0.7715    0.8029    0.5171   0.05044   0.02919  0.008201
+     29/79     13.2G   0.02673  0.009491  0.002837   0.03906        90       640    0.8278    0.7512    0.8078    0.5281   0.04958   0.02964  0.007849
+     30/79     13.2G   0.02592  0.009523  0.002577   0.03802        53       640    0.7984    0.7391    0.8004    0.5217   0.04901   0.02974  0.007807
+     31/79     13.2G   0.02637  0.009666  0.002618   0.03866        34       640     0.811     0.711    0.7732    0.4975   0.04895   0.03079  0.008088
+     32/79     13.2G   0.02509  0.009665  0.002666   0.03742        59       640    0.8424    0.7272    0.8048    0.5386   0.04808   0.03004  0.007673
+     33/79     13.2G   0.02404  0.009921  0.002407   0.03636        53       640    0.9033    0.7396    0.8454    0.5556   0.04795   0.03008  0.007241
+     34/79     13.2G   0.02484  0.009246  0.002271   0.03635        49       640     0.823     0.782    0.8506    0.5397   0.04803   0.03085  0.007199
+     35/79     13.2G   0.02465  0.009387  0.001934   0.03597        50       640    0.9133    0.7372    0.8227    0.5434   0.04801   0.03064  0.007026
+     36/79     13.2G   0.02473  0.009314  0.002176   0.03622        24       640    0.8392    0.7668    0.8386    0.5643   0.04559   0.03136   0.00706
+     37/79     13.2G   0.02393  0.009299   0.00186   0.03508        43       640    0.9082    0.7515    0.8659    0.5827   0.04477   0.03193    0.0068
+     38/79     13.2G   0.02336  0.008957  0.002114   0.03443        57       640    0.9231    0.7545    0.8508    0.5668   0.04402   0.03197  0.006659
+     39/79     13.2G   0.02364  0.008945  0.001765   0.03435        31       640    0.8734    0.8052    0.8677    0.5744   0.04343   0.03213   0.00663
+     40/79     13.2G   0.02328  0.008809  0.001593   0.03368        38       640    0.7972    0.8295    0.8588    0.5473   0.04534   0.03243  0.006724
+     41/79     13.2G   0.02239  0.009356  0.001918   0.03367        24       640    0.9427    0.7713    0.8607     0.578   0.04307   0.03189  0.006586
+     42/79     13.2G   0.02187  0.008995  0.001547   0.03241        70       640    0.9712    0.7337    0.8612    0.5664   0.04304    0.0322  0.006618
+     43/79     13.2G   0.02237  0.009843   0.00163   0.03384       116       640     0.891    0.7797    0.8789    0.5824   0.04364   0.03181  0.006572
+     44/79     13.2G   0.02236  0.008872  0.001481   0.03272        34       640    0.9316    0.7346    0.8336    0.5642   0.04287   0.03169  0.007082
+     45/79     13.2G     0.021  0.008368  0.001461   0.03083        38       640    0.9632    0.7608    0.8701    0.5823   0.04227   0.03169  0.006461
+     46/79     13.2G   0.02125  0.009005  0.001499   0.03175        79       640    0.9453    0.8282    0.9094    0.6003   0.04333   0.03135   0.00626
+     47/79     13.2G   0.02174  0.008428  0.001574   0.03174        13       640    0.9193    0.8681    0.9098    0.6065   0.04249   0.03164  0.006104
+     48/79     13.2G   0.02149  0.009179  0.001278   0.03195        78       640    0.9021    0.8325    0.9019    0.5974   0.04312   0.03192  0.006089
+     49/79     13.2G   0.02082  0.008776  0.001398     0.031        21       640    0.8703    0.8548    0.8936    0.6032    0.0429   0.03112  0.006018
+     50/79     13.2G   0.02052  0.008573  0.001298   0.03039        51       640    0.9053    0.8121    0.8791    0.5802    0.0429   0.03131  0.006375
+     51/79     13.2G   0.01991  0.008687  0.001241   0.02984        58       640    0.8969    0.8037     0.884    0.6004   0.04191   0.03147  0.006038
+     52/79     13.2G   0.02076   0.00883  0.001228   0.03082        61       640    0.8043    0.8632    0.8633    0.5829    0.0423   0.03144  0.006415
+     53/79     13.2G   0.01987  0.008581  0.001006   0.02946        85       640    0.8494    0.8042    0.8768     0.593   0.04254   0.03102  0.005956
+     54/79     13.2G    0.0201  0.008108  0.001104   0.02931        29       640    0.9335    0.8008     0.893    0.6173   0.04248   0.03116  0.005814
+     55/79     13.2G   0.02011  0.008213  0.001179    0.0295        28       640    0.9407    0.7936    0.9075    0.6193   0.04233   0.03129  0.005704
+     56/79     13.2G   0.01929  0.008254  0.001049   0.02859        22       640    0.8443    0.8257    0.8621    0.5793   0.04258   0.03161  0.005833
+     57/79     13.2G   0.01972  0.008489  0.001003   0.02921        49       640    0.8786      0.85    0.8831    0.6109   0.04278    0.0314  0.005816
+     58/79     13.2G   0.01971  0.008845  0.001218   0.02977        66       640    0.7515    0.8701    0.8613    0.5874   0.04241   0.03086  0.005914
+     59/79     13.2G   0.01926  0.008716  0.001074   0.02905        44       640    0.8272    0.8539    0.8761    0.6008   0.04243    0.0308  0.006028
+     60/79     13.2G   0.01872  0.008211 0.0009608    0.0279        75       640    0.8062    0.8887    0.8864    0.6091   0.04196   0.03073  0.005767
+     61/79     13.2G   0.01852  0.007999 0.0008184   0.02734        48       640     0.855    0.8392    0.8753    0.6047     0.042   0.03109  0.005783
+     62/79     13.2G   0.01892  0.008651  0.001026   0.02859        62       640    0.8764    0.8127    0.8649    0.5918   0.04215   0.03108  0.005777
+     63/79     13.2G   0.01896  0.008494 0.0009267   0.02838        54       640    0.8389    0.8209    0.8577     0.591   0.04224    0.0307  0.005808
+     64/79     13.2G   0.01877  0.008176  0.001013   0.02796        51       640    0.8732    0.8015    0.8619    0.5858   0.04232   0.03098  0.005816
+     65/79     13.2G   0.01879  0.007614 0.0009454   0.02735        48       640    0.8352     0.856    0.8635     0.585   0.04204   0.03092  0.005635
+     66/79     13.2G   0.01811  0.008332  0.000921   0.02736        44       640    0.8532    0.8385    0.8652    0.5944   0.04174   0.03079  0.005603
+     67/79     13.2G   0.01827  0.007608 0.0008534   0.02673        39       640    0.8901    0.8102    0.8727    0.5937   0.04177    0.0312  0.005561
+     68/79     13.2G   0.01836  0.007943 0.0008144   0.02712        41       640    0.8647    0.8284    0.8828    0.5986   0.04143    0.0315  0.005476
+     69/79     13.2G   0.01833  0.008231  0.001132   0.02769        33       640    0.8477    0.8149     0.868    0.5842    0.0416   0.03152  0.005512
+     70/79     13.2G   0.01771  0.007649 0.0009163   0.02628        38       640    0.8623    0.8075    0.8753    0.5918   0.04164   0.03148  0.005508
+     71/79     13.2G   0.01743  0.007334 0.0007312   0.02549       116       640    0.8391    0.8668    0.8848     0.601   0.04165    0.0313  0.005388
+     72/79     13.2G   0.01765   0.00794 0.0008523   0.02644        35       640    0.9109    0.8062    0.8732    0.5852   0.04186   0.03138  0.005463
+     73/79     13.2G   0.01787  0.008124 0.0008368   0.02683        29       640    0.8117    0.8547    0.8639    0.5851   0.04186   0.03128  0.005573
+     74/79     13.2G   0.01774  0.007933 0.0008068   0.02648        38       640    0.8751    0.8443    0.8857    0.6018   0.04167   0.03138  0.005627
+     75/79     13.2G   0.01776  0.007661 0.0008124   0.02623        49       640    0.9301    0.8072    0.8873    0.6003   0.04192    0.0316  0.005434
+     76/79     13.2G   0.01806   0.00769 0.0008418   0.02659        56       640    0.9008    0.8241    0.8918     0.602   0.04163   0.03176  0.005412
+     77/79     13.2G   0.01751  0.007613 0.0006804    0.0258        46       640    0.8789     0.807    0.8856    0.6003    0.0419   0.03169  0.005394
+     78/79     13.2G   0.01772  0.007766  0.000803   0.02629        80       640    0.8964    0.8071    0.8787    0.5947   0.04179   0.03153  0.005372
+     79/79     13.2G    0.0178  0.007535 0.0009297   0.02626        30       640    0.8756    0.7729    0.8584    0.5816    0.0417   0.03141   0.00544
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