From 0fb4a46ace6d32b323039ee40cddc0566ef6b0b8 Mon Sep 17 00:00:00 2001
From: Glenn Jocher <glenn.jocher@ultralytics.com>
Date: Thu, 27 Feb 2020 13:30:23 -0800
Subject: [PATCH] updates

---
 cfg/yolov4-tiny-1cls.cfg | 233 +++++++++++++++++++++++++++++++++++++++
 cfg/yolov4-tiny.cfg      | 233 +++++++++++++++++++++++++++++++++++++++
 2 files changed, 466 insertions(+)
 create mode 100644 cfg/yolov4-tiny-1cls.cfg
 create mode 100644 cfg/yolov4-tiny.cfg

diff --git a/cfg/yolov4-tiny-1cls.cfg b/cfg/yolov4-tiny-1cls.cfg
new file mode 100644
index 00000000..7cf2dd4e
--- /dev/null
+++ b/cfg/yolov4-tiny-1cls.cfg
@@ -0,0 +1,233 @@
+# Generated by Glenn Jocher (glenn.jocher@ultralytics.com) for https://github.com/ultralytics/yolov3
+# def kmean_anchors(path='../coco/train2017.txt', n=12, img_size=(320, 640)):  # from utils.utils import *; kmean_anchors()
+# Evolving anchors: 100%|██████████| 1000/1000 [41:15<00:00,  2.48s/it]
+# 0.20 iou_thr: 0.992 best possible recall, 4.25 anchors > thr
+# kmeans anchors (n=12, img_size=(320, 640), IoU=0.005/0.184/0.634-min/mean/best): 6,9,  15,16,  17,35,  37,26,  36,67,  63,42,  57,100,  121,81,  112,169,  241,158,  195,310,  426,359
+
+[net]
+# Testing
+# batch=1
+# subdivisions=1
+# Training
+batch=64
+subdivisions=16
+width=608
+height=608
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=1000
+max_batches = 200000
+policy=steps
+steps=180000,190000
+scales=.1,.1
+
+
+[convolutional]
+batch_normalize=1
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=1
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+###########
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=24
+activation=linear
+
+
+
+[yolo]
+mask = 8,9,10,11
+anchors = 6,9,  15,16,  17,35,  37,26,  36,67,  63,42,  57,100,  121,81,  112,169,  241,158,  195,310,  426,359
+classes=1
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 8
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=24
+activation=linear
+
+[yolo]
+mask = 4,5,6,7
+anchors = 6,9,  15,16,  17,35,  37,26,  36,67,  63,42,  57,100,  121,81,  112,169,  241,158,  195,310,  426,359
+classes=1
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+
+
+[route]
+layers = -3
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 6
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=24
+activation=linear
+
+[yolo]
+mask = 0,1,2,3
+anchors = 6,9,  15,16,  17,35,  37,26,  36,67,  63,42,  57,100,  121,81,  112,169,  241,158,  195,310,  426,359
+classes=1
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
diff --git a/cfg/yolov4-tiny.cfg b/cfg/yolov4-tiny.cfg
new file mode 100644
index 00000000..5548ca60
--- /dev/null
+++ b/cfg/yolov4-tiny.cfg
@@ -0,0 +1,233 @@
+# Generated by Glenn Jocher (glenn.jocher@ultralytics.com) for https://github.com/ultralytics/yolov3
+# def kmean_anchors(path='../coco/train2017.txt', n=12, img_size=(320, 640)):  # from utils.utils import *; kmean_anchors()
+# Evolving anchors: 100%|██████████| 1000/1000 [41:15<00:00,  2.48s/it]
+# 0.20 iou_thr: 0.992 best possible recall, 4.25 anchors > thr
+# kmeans anchors (n=12, img_size=(320, 640), IoU=0.005/0.184/0.634-min/mean/best): 6,9,  15,16,  17,35,  37,26,  36,67,  63,42,  57,100,  121,81,  112,169,  241,158,  195,310,  426,359
+
+[net]
+# Testing
+# batch=1
+# subdivisions=1
+# Training
+batch=64
+subdivisions=16
+width=608
+height=608
+channels=3
+momentum=0.9
+decay=0.0005
+angle=0
+saturation = 1.5
+exposure = 1.5
+hue=.1
+
+learning_rate=0.001
+burn_in=1000
+max_batches = 200000
+policy=steps
+steps=180000,190000
+scales=.1,.1
+
+
+[convolutional]
+batch_normalize=1
+filters=16
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=32
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=64
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=2
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[maxpool]
+size=2
+stride=1
+
+[convolutional]
+batch_normalize=1
+filters=1024
+size=3
+stride=1
+pad=1
+activation=leaky
+
+###########
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+batch_normalize=1
+filters=512
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=340
+activation=linear
+
+
+
+[yolo]
+mask = 8,9,10,11
+anchors = 6,9,  15,16,  17,35,  37,26,  36,67,  63,42,  57,100,  121,81,  112,169,  241,158,  195,310,  426,359
+classes=80
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+[route]
+layers = -4
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 8
+
+[convolutional]
+batch_normalize=1
+filters=256
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=340
+activation=linear
+
+[yolo]
+mask = 4,5,6,7
+anchors = 6,9,  15,16,  17,35,  37,26,  36,67,  63,42,  57,100,  121,81,  112,169,  241,158,  195,310,  426,359
+classes=80
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1
+
+
+
+[route]
+layers = -3
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=1
+stride=1
+pad=1
+activation=leaky
+
+[upsample]
+stride=2
+
+[route]
+layers = -1, 6
+
+[convolutional]
+batch_normalize=1
+filters=128
+size=3
+stride=1
+pad=1
+activation=leaky
+
+[convolutional]
+size=1
+stride=1
+pad=1
+filters=340
+activation=linear
+
+[yolo]
+mask = 0,1,2,3
+anchors = 6,9,  15,16,  17,35,  37,26,  36,67,  63,42,  57,100,  121,81,  112,169,  241,158,  195,310,  426,359
+classes=80
+num=12
+jitter=.3
+ignore_thresh = .7
+truth_thresh = 1
+random=1