-
Ex Intel
- Germany, Munich
- https://scholar.google.com/citations?user=ljmswJ0AAAAJ
- https://orcid.org/0000-0003-1805-1909
- @alexeyab84
Highlights
- Pro
Pinned Loading
-
WongKinYiu/yolov7
WongKinYiu/yolov7 PublicImplementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
-
-
object_threadsafe
object_threadsafe PublicWe make any object thread-safe and std::shared_mutex 10 times faster to achieve the speed of lock-free algorithms on >85% reads
-
isl-org/MiDaS
isl-org/MiDaS PublicCode for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
-
darknet
darknet PublicForked from pjreddie/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
-
Ex Intel
- Germany, Munich
- https://scholar.google.com/citations?user=ljmswJ0AAAAJ
- https://orcid.org/0000-0003-1805-1909
- @alexeyab84
Highlights
- Pro
Pinned Loading
-
WongKinYiu/yolov7
WongKinYiu/yolov7 PublicImplementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
-
-
object_threadsafe
object_threadsafe PublicWe make any object thread-safe and std::shared_mutex 10 times faster to achieve the speed of lock-free algorithms on >85% reads
-
isl-org/MiDaS
isl-org/MiDaS PublicCode for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
-
darknet
darknet PublicForked from pjreddie/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
If the problem persists, check the GitHub status page or contact support.