the multi-input issue

[zhouqunbing]

hello,if i want to use two inputs to segment picture,how should i do to fix the code? eg: RGB:(B,3,H,W) Depth:(B,1,H,W) I use the RGB and depth as the input,finally i will get the segmentation map.so i wanna to see the CAM map of some layers in the net。

[jacobgil]

Hi, Some clarifying questions:

• Do you want to get the CAM with respect to the RGB pixels, the Depth pixels, or both?
• Is the input tensor actually B, 4, H, W (4=3+1 i.e they are concatenated), or is it something else more complex ?

[zhouqunbing]

Hi, Some clarifying questions:

• Do you want to get the CAM with respect to the RGB pixels, the Depth pixels, or both?
• Is the input tensor actually B, 4, H, W (4=3+1 i.e they are concatenated), or is it something else more complex ?

thank you for your repaly. 1:I wanna get the CAM of both or the RGB pixel. 2:the input rgb and depth are feed into resnet sepreately,for example the rgb feed into resnet,and the depth feed into another resnet(two resnet are same),then i will operate in resnet ,finaly i will get one output,the dimision is (B,512,H//32,W//32).

[jacobgil]

I'm not sure what it means separately. If the depth is grayscale (one channel), how can it be fed into the same resnet? will it be duplicated to have 3 channels?

The details of this matter for the solution. Is there a chance you can provide some code or pseudo code on how the forward pass looks like ?

[zhouqunbing]

I'm not sure what it means separately. If the depth is grayscale (one channel), how can it be fed into the same resnet? will it be duplicated to have 3 channels?

The details of this matter for the solution. Is there a chance you can provide some code or pseudo code on how the forward pass looks like ?

1:the depth is a gary picture ,it's pixel is range from 0 to 255,but the value of each pixel satnds for the distance between camera and object. 2:the strcture may be like this: 3:the forward function is like this:

def forward(self, rgb, depth):
    rgb = self.encoder_rgb.forward_first_conv(rgb)
    depth = self.encoder_depth.forward_first_conv(depth)

    if self.fuse_depth_in_rgb_encoder == 'add':
        fuse = rgb + depth
    else:
        fuse = self.se_layer0(rgb, depth)

    rgb = F.max_pool2d(fuse, kernel_size=3, stride=2, padding=1)
    depth = F.max_pool2d(depth, kernel_size=3, stride=2, padding=1)

    # block 1
    rgb = self.encoder_rgb.forward_layer1(rgb)
    depth = self.encoder_depth.forward_layer1(depth)
    if self.fuse_depth_in_rgb_encoder == 'add':
        fuse = rgb + depth
    else:
        fuse = self.se_layer1(rgb, depth)
    skip1 = self.skip_layer1(fuse)

    # block 2
    rgb = self.encoder_rgb.forward_layer2(fuse)
    depth = self.encoder_depth.forward_layer2(depth)
    if self.fuse_depth_in_rgb_encoder == 'add':
        fuse = rgb + depth
    else:
        fuse = self.se_layer2(rgb, depth)
    skip2 = self.skip_layer2(fuse)

    # block 3
    rgb = self.encoder_rgb.forward_layer3(fuse)
    depth = self.encoder_depth.forward_layer3(depth)
    if self.fuse_depth_in_rgb_encoder == 'add':
        fuse = rgb + depth
    else:
        fuse = self.se_layer3(rgb, depth)
    skip3 = self.skip_layer3(fuse)

    # block 4
    rgb = self.encoder_rgb.forward_layer4(fuse)
    depth = self.encoder_depth.forward_layer4(depth)
    if self.fuse_depth_in_rgb_encoder == 'add':
        fuse = rgb + depth
    else:
        fuse = self.se_layer4(rgb, depth)

[jacobgil]

Got it ! If self.fuse_depth_in_rgb_encoder is not 'add', I think the easiest way to start, would be to set target_layer = se_layer4. It would then visualize the combined heatmap for both of them.

If you want to visualize only RGB for example, you can set target_layer = encoder_rgb.forward_layer4.

Does this work ?

[zhouqunbing]

@jacobgil thank you for your reply。 Practice is the sole criterion for testing truth。 I will revise the code 。

[IceHowe]

Hello, do you solve this problem? I also need to visualize the heat map of the siamese network

[chen-yuu]

Hello, do you solve this problem? I also need to visualize the heat map of the siamese network

hello,if i want to use two inputs to segment picture,how should i do to fix the code? eg: RGB:(B,3,H,W) Depth:(B,1,H,W) I use the RGB and depth as the input,finally i will get the segmentation map.so i wanna to see the CAM map of some layers in the net。

请问问题解决了吗 两个输入是怎么进行热力图计算呢

[zhouqunbing]

对不起，没有解决，后来没用到了。

---Original--- From: @.> Date: Wed, Dec 20, 2023 17:54 PM To: @.>; Cc: @.**@.>; Subject: Re: [jacobgil/pytorch-grad-cam] the multi-input issue (Issue #341)

Hello, do you solve this problem? I also need to visualize the heat map of the siamese network

hello,if i want to use two inputs to segment picture,how should i do to fix the code? eg: RGB:(B,3,H,W) Depth:(B,1,H,W) I use the RGB and depth as the input,finally i will get the segmentation map.so i wanna to see the CAM map of some layers in the net。

请问问题解决了吗 两个输入是怎么进行热力图计算呢

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