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chuanqi305/MobileNet-SSD: Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
https://github.com/chuanqi305/MobileNet-SSD
chuanqi305/M…
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Can you provide mobilenetv2-ssd model?
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Hello,
I would like to fine-tune MobileNet-SSD with my own dataset and own classes. There is an example in Caffe for fine tuning an image classification pb (http://caffe.berkeleyvision.org/gathered/e…
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I tried this application and implementation in Android Studio, basically it works well. However, I experienced problems when using a custom SSD model that had been trained and the model used FLOAT32. …
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According to the guidebook, I found codes for object detection within only 10 lines, like
#inference.py in jetson-inference
import jetson.utils
import jetson.inference
input = jetson.utils.video…
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Hello,I want to know about the precision that the model can achieved.I am training this model with 2500 photos,and the iteration is 300k.When I am evaluating this model,the mAP is 36%~38%,it seems tha…
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how much size of images face detected & what is minimum and maximum size of images supported ( like KB, MB ) and also supported for which resolution area ( Width x Hight)
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Hi,
Did you have training MobileNet-v2 SSD Model?
Are there some pretrained model I can use?
Thanks.
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Hi peeps,
I have been trying to train a custom model for object detection using this package, i.e flutter_tflite, but have found no success. custom models when ingested into the example app does no…
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I'm trying to replace the ssd_mobilenet_v2_coco object detection model with my YOLOv8 model on the AMR. I have already modified the paths and related files (xml, label, bin). But when running the obje…