edgetpu VS YOLOv6

Compare edgetpu vs YOLOv6 and see what are their differences.

edgetpu

Coral issue tracker (and legacy Edge TPU API source) (by google-coral)

YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications. (by meituan)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
edgetpu YOLOv6
34 11
382 5,498
0.0% 1.5%
2.7 6.7
over 2 years ago 16 days ago
C++ Jupyter Notebook
Apache License 2.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

edgetpu

Posts with mentions or reviews of edgetpu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-02.
  • Chromebook Plus: more performance and AI capabilities
    3 projects | news.ycombinator.com | 2 Oct 2023
    I know the tensor power pixelbook was shutdown and I never heard the actual reason just a bunch of speculation about costs/profitability which is probably true.

    It's a shame that there isn't more competition and development in the neural asic world to harness the power of llms/generative AI on a low power, cheap hardware platform like the pixelbook line. For someone that invented the TPU they have done a not so great job of ensuring it's commercialization and support. Both on the hardware and software side.

    The coral edge tpu seemed to be the right high level idea but without proper execution.

    https://github.com/google-coral/edgetpu/issues/668

  • Show HN: RISC-V core written in 600 lines of C89
    3 projects | news.ycombinator.com | 10 Jun 2023
    > even in the 80s I wanted an FPGA accelerators in every machine

    Mostly unrelated, but I recently discovered that you can buy TPUs, right now, as a consumer product, from https://coral.ai.

    The stock firmware already allows you to run these things so hard they overheat, which is amazing.

    But yes, I also want FPGA accelerators.

  • Sony backs Raspberry Pi with fresh funding, access to A.I. chips
    2 projects | news.ycombinator.com | 12 Apr 2023
    Chips optimized to perform the type of calculations used for NN inference at high parallelism. A good example would be the google spinoff https://coral.ai/ (though their usecase is highly limited by sub-par software constraints)
  • How can I speed up predictions [RPI, TFLite]?
    2 projects | /r/tensorflow | 4 Dec 2022
    https://coral.ai, and it looks really neat, but the USB accelerator has a wait time of 81 weeks and the PCIe modules have a wait time of around 14-50 weeks. A wait time that long isn't really an option, are there any alternatives?
  • YOLOv6: Redefine state-of-the-art for object detection
    10 projects | news.ycombinator.com | 29 Jun 2022
    Is this available for https://coral.ai/ somehow? Would it be difficult to convert it?
  • ZMEventNotification Failure when running install.sh
    2 projects | /r/ZoneMinder | 20 Jan 2022
    if [ "${INSTALL_CORAL_EDGETPU}" == "yes" ] then # Coral files #echo #echo "Installing pycoral libs, if needed..." #${PY_SUDO} apt-get install libedgetpu1-std -qq #${PY_SUDO} ${INSTALLER} install python3-pycoral -qq echo 'Checking for Google Coral Edge TPU data files...' targets=('coco_indexed.names' 'ssd_mobilenet_v2_coco_quant_postprocess_edgetpu.tflite' 'ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite' 'ssd_mobilenet_v2_face_quant_postprocess_edgetpu.tflite') sources=('https://dl.google.com/coral/canned_models/coco_labels.txt' 'https://github.com/google-coral/edgetpu/raw/master/test_data/ssd_mobilenet_v2_coco_quant_postprocess_edgetpu.tflite' 'https://github.com/google-coral/test_data/raw/master/ssdlite_mobiledet_coco_qat_postprocess_edgetpu.tflite' 'https://github.com/google-coral/test_data/raw/master/ssd_mobilenet_v2_face_quant_postprocess_edgetpu.tflite') for ((i=0;i<${#targets[@]};++i)) do if [ ! -f "${TARGET_DATA}/models/coral_edgetpu/${targets[i]}" ] then ${WGET} "${sources[i]}" -O"${TARGET_DATA}/models/coral_edgetpu/${targets[i]}" else echo "${targets[i]} exists, no need to download" fi done fi
  • NUC 10 BXNUC10i7FNH Core i7: how to expand it?
    2 projects | /r/intelnuc | 15 Jan 2022
    I am a happy owner of a NUC 10 Core i7! so far it has been amazing! now I need run frigate and to optimize this I need to add Google Coral TPU
  • Adding PCIe "Bifurcation" to an old Dell R720XD
    2 projects | /r/homelab | 9 Jan 2022
  • Building a rackmount server in the EU
    2 projects | /r/homelab | 2 Jan 2022
    FYI the dual edge coral TPU m.2 module needs a very unique pic-e interface as they’re each brought to a single PCI-e lane but in a single interface (so it’s 2x1X PCIe lanes not a 1x2X)… subtle difference but very few m.2 e interfaces support it (read about it on the github page)
  • [Request/suggestions] DIY mini PC / low power consumption
    2 projects | /r/HomeServer | 3 Dec 2021
    Also, the 720/920 tinys also have a m.2 e key slot for wifi; I'm intending to try out a https://coral.ai/products/m2-accelerator-dual-edgetpu/ accelerator in this slot for frigate once the card actually becomes available.

YOLOv6

Posts with mentions or reviews of YOLOv6. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-08.

What are some alternatives?

When comparing edgetpu and YOLOv6 you can also consider the following projects:

yolov5 - YOLOv5 πŸš€ in PyTorch > ONNX > CoreML > TFLite

yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

scrypted - Scrypted is a high performance home video integration and automation platform

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

frigate - NVR with realtime local object detection for IP cameras

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

yolov7_d2 - πŸ”₯πŸ”₯πŸ”₯πŸ”₯ (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! πŸ”₯πŸ”₯πŸ”₯

keras-yolo3 - Training and Detecting Objects with YOLO3

Dual-Edge-TPU-Adapter - Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot

homebridge-wyze-connected-home-op - Wyze Connected Home plugin for Homebridge with support for the Wyze Outdoor Plug