Comments (1)
diegoaldarondo
commented on August 16, 2024
CPU
Intel Core i9-9900X 3.5 GHz 10-Core Processor
CPU Cooler
Noctua NH-D15S 82.52 CFM CPU Cooler
Motherboard
MSI X299 XPOWER GAMING AC EATX LGA2066 Motherboard
Memory
G.Skill Ripjaws V Series 32 GB (4 x 16 GB) DDR4-3200 CL16 Memory
Storage
Samsung 970 Evo 500 GB M.2-2280 NVME Solid State Drive
Video Card(s)
PNY Quadro P4000 8 GB Video Card
MSI GeForce GTX 1660 SUPER 6 GB VENTUS XS OC Video Card
Case
Corsair 750D ATX Full Tower Case
Power Supply
Corsair RM (2019) 750 W 80+ Gold Certified Fully Modular ATX Power Supply
Cameras
Basler Ace2 Basic (6x) (USB 3.0)
Lenses
Basler 8mm lens
USB 3.0 Card PCIe
Fresco FL1100
Can probably be optimized further. You could most likely get by with a less expensive CPU, or with a single Quadro/Titan GPU if you patch the drivers to get by the stream limits. Cameras/IO are also obviously changeable.
Feel free to put this info wherever you like.
from dannce.
Related Issues (20)
- Zero training/validation errors but completely wrong in labeled images. HOT 2
- How to train DANNCE with more than 6 cameras? HOT 1
- COM deviate a lot from animal HOT 2
- When running dannce-predict demo script, GPU usage is at 0% HOT 1
- Integration of DANNCE and CAPTURE HOT 1
- Could not find enough inliers in imagePoints and worldPoints HOT 2
- n_views error HOT 1
- dannce-predict loss very small, but result same like normal but shift HOT 6
- Re-train network with new labeled frames HOT 1
- Multi animal COM HOT 2
- how to use rats16.mat skeleton for CAPTURE_demo analysis HOT 1
- calibration HOT 1
- OOM error HOT 2
- File "E:\anaconda\envs\tfnew_25\lib\site-packages\tensorflow\python\framework\ops.py", line 6649, in __init__ raise ValueError("name for name_scope must be a string.") HOT 1
- ValueError: name for name_scope must be a string when doing dannce-predict. HOT 1
- ValueError: bad marshal data (unknown type code) when dannce-predict HOT 1
- frames_with_good_tracking
- Fintune with more than 6 cams HOT 2
- Bad predict result after finetune
- Use dannce_predict on own data
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