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買ったもの

https://weactstudio.aliexpress.com/ で買った

• type-cなRP2040
  • https://www.aliexpress.com/item/1005003708090298.html
• epaper module
  • https://www.aliexpress.com/item/1005004644515880.html

コード

https://github.com/WeActStudio/WeActStudio.EpaperModule/tree/master/Example でESP32のサンプルはあるけどRP2040はない

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import torch
from torchvision.models.detection import maskrcnn_resnet50_fpn, MaskRCNN_ResNet50_FPN_Weights

weights = MaskRCNN_ResNet50_FPN_Weights.DEFAULT
transforms = weights.transforms()

model = maskrcnn_resnet50_fpn(weights=weights, progress=False)
# model = model.eval()
model = model.train()

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import torch
import torch.onnx.symbolic_helper as sym_hel
from typing import Any


def _maybe_get_scalar(value: torch._C.Value) -> Any:
    value_t = _maybe_get_const(value, "t")
    if isinstance(value_t, torch.Tensor) and value_t.shape == ():
        return value_t
    node_v = sym_hel._node_get(value, "value")

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modified   onnx/checker.cc
@@ -795,13 +795,14 @@ void check_model(const ModelProto& model, CheckerContext& ctx) {
 }
 
 void check_model(const std::string& model_path) {
-  ModelProto model;
+  google::protobuf::Arena arena;
+  ModelProto* model = google::protobuf::Arena::CreateMessage<ModelProto>(&arena);
   std::fstream model_stream(model_path, std::ios::in | std::ios::binary);
   if (!model_stream.good()) {

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name: Update book list

on:
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  schedule:
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jobs:
  build:

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    e.click();
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});

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  then((txt) => {
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    const src = parser.parseFromString(txt, 'text/html');
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    elem.href = mp4_url;

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    s += parseInt(v.innerHTML.replace(/[^0-9]/g, ''));
});
console.log(s);