thank you for your code. may i get this paper? or it's not publish and can you pro

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thank you very muchOn 07/02/2019 15:29, Junyu Gao wrote:<a class=

thank you very much On 07/02/2019 15:29, Junyu Gao wrote: <a class="user-

paper about pcc-net HOT 5 OPEN

gjy3035 commented on June 11, 2024

paper

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Comments (5)

gjy3035 commented on June 11, 2024 1

The paper is pre-printed at https://arxiv.org/abs/1905.10085. We will release the code for generation of segmentation mask. Thanks for your attention!

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gjy3035 commented on June 11, 2024

paper is coming.

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gjy3035 commented on June 11, 2024

@yanfangfangfang About segmentation mask generation, the core matlab code:

    bi_den = logical(im_density);
    op = strel('ball',50,0);
    seg = imdilate(uint8(bi_den),op);
    
    seg(seg~=max(max(seg))) = 0;
    seg = logical(seg);

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yanfangfangfang commented on June 11, 2024

thank you very much On 07/02/2019 15:29, Junyu Gao wrote: @yanfangfangfang About segmentation mask generation, the core matlab code: bi_den = logical(im_density); op = strel('ball',50,0); seg = imdilate(uint8(bi_den),op); seg(seg~=max(max(seg))) = 0; seg = logical(seg); — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

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sahar119911 commented on June 11, 2024

thank you very much On 07/02/2019 15:29, Junyu Gao wrote: @yanfangfangfang About segmentation mask generation, the core matlab code: bi_den = logical(im_density); op = strel('ball',50,0); seg = imdilate(uint8(bi_den),op); seg(seg~=max(max(seg))) = 0; seg = logical(seg); — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

can you plz share the code for data segmentation @yanfangfangfang @gjy3035

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